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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. 9-RES-JB
    11. 3333
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    Explanations

    words related to relationship between people, like readers, followers, supporters, and players

    oai_token-act-pair · gpt-3.5-turbo

    terms related to groups of people and their collective support or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cer
    -0.77
     oneself
    -0.73
     guiName
    -0.60
    uve
    -0.58
     Ct
    -0.58
     itself
    -0.57
    aeper
    -0.56
    otherapy
    -0.56
    aton
    -0.56
    WithNo
    -0.55
    POSITIVE LOGITS
    hip
    1.16
    folk
    1.02
    hips
    1.00
    mates
    0.99
     selves
    0.94
     counterparts
    0.93
    ervative
    0.90
    '
    0.90
    mith
    0.83
     brethren
    0.83
    Activations Density 0.236%

    No Known Activations