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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. 11382
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    Explanations

    mentions of specific individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    unique symbols or characters

    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
     comprom
    -0.96
     mathemat
    -0.77
     mosqu
    -0.71
     cob
    -0.69
     photoc
    -0.69
     interf
    -0.68
     Ambro
    -0.68
     Thomson
    -0.66
     Unic
    -0.66
    ensical
    -0.65
    POSITIVE LOGITS
    Ļ
    1.39
    ¬
    1.22
    ¤
    1.22
    ħ
    1.18
    Ħ¢
    1.15
    ĺ
    1.14
    ı
    1.12
    ¡
    1.10
    ª
    1.10
    Ķ
    1.08
    Activations Density 0.182%

    No Known Activations