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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. 12-RES-JB
    11. 3871
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    Explanations

    information related to environmental changes and socioeconomic impacts

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    various forms of contextual emphasis or modifiers in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     style
    -0.60
     antip
    -0.55
    chell
    -0.54
     disguise
    -0.52
     Outer
    -0.52
     action
    -0.51
     ANC
    -0.51
     rack
    -0.51
    atem
    -0.50
     bombard
    -0.50
    POSITIVE LOGITS
    Ń
    1.51
    ľ
    1.51
    ª
    1.50
    «
    1.50
    Ļ
    1.48
    ķ
    1.47
    µ
    1.43
    ł
    1.41
    ¡
    1.38
    Ļ½
    1.38
    Activations Density 0.170%

    No Known Activations