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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. 7-RES-JB
    11. 11789
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    Explanations

    numbers and usernames within various text contexts

    oai_token-act-pair · gpt-3.5-turbo

    the end of the text or document structure

    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
     Instr
    -0.94
     Ninth
    -0.83
     Borders
    -0.74
     Canary
    -0.74
     Fundamental
    -0.73
     Direction
    -0.72
     Chatt
    -0.71
     Lot
    -0.68
     Seym
    -0.68
     Niet
    -0.68
    POSITIVE LOGITS
    @
    0.95
    _
    0.83
    podcast
    0.81
    football
    0.79
    ":{"
    0.78
    bian
    0.78
    wolf
    0.77
    oft
    0.76
    park
    0.76
    ead
    0.75
    Activations Density 0.237%

    No Known Activations