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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. 8-RES-JB
    11. 5030
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    Explanations

    verbs related to causing change or improvement

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of transformation or change

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PLIED
    -0.70
    REL
    -0.68
    bis
    -0.67
    ramid
    -0.65
    Found
    -0.65
    llah
    -0.64
     WARN
    -0.64
    unts
    -0.62
    ourn
    -0.61
    vP
    -0.61
    POSITIVE LOGITS
     into
    0.99
    ively
    0.98
    into
    0.93
     INTO
    0.88
    ives
    0.84
     Into
    0.77
    ational
    0.77
    atile
    0.75
    ative
    0.74
    ibility
    0.73
    Activations Density 0.068%

    No Known Activations