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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. 9-RES-JB
    11. 23382
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    INDEX
    Explanations

    for-specific references, such as names, roles, and achievements related to prominent individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individual identities and their notable contributions or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÑĮ
    -0.80
    Initialized
    -0.76
    emies
    -0.74
    Cooldown
    -0.74
    package
    -0.73
    LET
    -0.72
     Worse
    -0.71
    insk
    -0.71
    apa
    -0.71
    vier
    -0.71
    POSITIVE LOGITS
     propensity
    1.22
     penchant
    1.19
     willingness
    1.09
     portrayal
    1.07
     tendency
    1.07
     own
    1.04
     unorthodox
    1.03
     ability
    1.02
     frequent
    0.99
     inability
    0.99
    Activations Density 0.141%

    No Known Activations