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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. 1-RES-JB
    11. 6730
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    Explanations

    phrases related to specific names, locations, and politics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or terms related to individuals or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    carry
    -0.79
     Akron
    -0.67
    roads
    -0.67
    fare
    -0.63
     CBI
    -0.62
    LD
    -0.61
    payer
    -0.61
    frames
    -0.59
     Breath
    -0.59
    --------------------------------------------------------
    -0.58
    POSITIVE LOGITS
     Maur
    1.14
    icio
    1.06
    itan
    0.97
     unden
    0.87
    inian
    0.82
    izont
    0.81
    ovan
    0.80
     Sebast
    0.80
    igr
    0.79
    itans
    0.78
    Activations Density 0.008%

    No Known Activations