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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 12780
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    Explanations

    references to images with varying degrees of relevance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of images and their sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    morrow
    -0.71
    ogly
    -0.70
     pige
    -0.69
    ose
    -0.67
    etheless
    -0.67
     Samar
    -0.66
    oshenko
    -0.65
    ority
    -0.65
    evaluate
    -0.63
    ministic
    -0.63
    POSITIVE LOGITS
    *)
    1.16
    )"
    1.07
     ?)
    0.97
    â̦)
    0.96
    ?)
    0.95
     *)
    0.94
    )]
    0.93
    )
    0.92
    /)
    0.92
    ),"
    0.92
    Activations Density 0.068%

    No Known Activations