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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. 20212
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    Explanations

    self-promotional language inviting the reader to enjoy or like the creator's work

    oai_token-act-pair · gpt-3.5-turbo

    expressions of enjoyment and appreciation towards content

    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
     cumbers
    -0.60
     millisec
    -0.58
     lobby
    -0.57
     metic
    -0.56
     fronts
    -0.56
    AIDS
    -0.55
    REF
    -0.55
    wig
    -0.55
     devote
    -0.54
     fame
    -0.54
    POSITIVE LOGITS
     yourselves
    0.79
     reading
    0.79
    endum
    0.78
     Comments
    0.68
     ðŁĺ
    0.68
     Pastebin
    0.68
     ðŁĻĤ
    0.68
    ————
    0.67
     previews
    0.66
     Flavoring
    0.66
    Activations Density 0.162%

    No Known Activations