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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. 1894
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    Explanations

    mentions of the word "Clay"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Clay" or its variations

    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
    AMI
    -0.74
    awaru
    -0.73
    FontSize
    -0.71
    unct
    -0.71
    idem
    -0.70
    unknown
    -0.68
    inen
    -0.68
    ovo
    -0.66
    igrate
    -0.66
    PsyNetMessage
    -0.66
    POSITIVE LOGITS
    pool
    1.13
    brate
    1.01
    brates
    0.91
    more
    0.90
     Clay
    0.84
    ming
    0.83
     Shir
    0.80
    wall
    0.80
    mont
    0.77
    fish
    0.77
    Activations Density 0.040%

    No Known Activations