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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. 4-RES-JB
    11. 238
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and symbols

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

    No Comments

    Negative Logits
     horizont
    -0.63
     Seym
    -0.60
     manif
    -0.60
    ilaterally
    -0.58
     prest
    -0.56
     tradem
    -0.56
    emale
    -0.55
    nesday
    -0.55
     neighb
    -0.55
    akespe
    -0.55
    POSITIVE LOGITS
    BILITIES
    0.77
     largeDownload
    0.76
    ":"/
    0.63
    ANS
    0.59
     Entered
    0.59
    ARM
    0.58
    FORMATION
    0.58
    Fish
    0.58
    GAME
    0.58
     GOODMAN
    0.57
    Activations Density 0.190%

    No Known Activations