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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. 7-RES-JB
    11. 14164
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    INDEX
    Explanations

    mention of places or topics where discussions or negotiations take place

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicative of actions or conditions involving direction, location, or relation

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    >>>>>>>>
    -0.68
    icit
    -0.64
    abilia
    -0.63
    Written
    -0.63
    ocked
    -0.62
     WATCHED
    -0.62
    rics
    -0.62
    icas
    -0.62
    cised
    -0.61
    ascript
    -0.60
    POSITIVE LOGITS
    irlf
    0.65
    hem
    0.63
    fall
    0.61
    ember
    0.61
    ilk
    0.60
     stride
    0.60
    urch
    0.60
     entreprene
    0.59
    sum
    0.59
    ngth
    0.59
    Activations Density 0.322%

    No Known Activations