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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 4386
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    INDEX
    Explanations

    instances of phrases that signal specific aspects or indicators of various issues, such as growing militarization, social reality, influential donors, and deep-rooted problems

    oai_token-act-pair · gpt-3.5-turbo

    indicators of societal or political issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥīãĥ©
    -0.83
    ãĥ¼ãĥ³
    -0.78
     Referred
    -0.74
    listed
    -0.72
    76561
    -0.71
    ãĥĺ
    -0.70
     Zup
    -0.70
    efer
    -0.69
    atos
    -0.69
    icles
    -0.67
    POSITIVE LOGITS
     desperation
    1.22
     mindset
    1.12
     inexper
    1.09
     seriousness
    1.07
     impat
    1.05
     dissatisfaction
    0.99
     frustration
    0.99
     cynicism
    0.98
     unwillingness
    0.98
     mentality
    0.97
    Activations Density 0.348%

    No Known Activations