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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. 6-RES-JB
    11. 18717
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    Explanations

    phrases related to justification or exoneration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to validation and exoneration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ps
    -0.74
    pmwiki
    -0.74
    mers
    -0.74
    puter
    -0.72
    atomic
    -0.70
    sites
    -0.70
    elsius
    -0.70
    abwe
    -0.70
    ombs
    -0.69
     indoors
    -0.69
    POSITIVE LOGITS
    ictive
    1.16
    ication
    1.07
    iary
    1.02
    icator
    1.01
    icated
    0.99
    icate
    0.98
    icators
    0.96
     Kejriwal
    0.92
    icates
    0.89
    iability
    0.85
    Activations Density 0.054%

    No Known Activations