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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. 23680
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    Explanations

    phrases indicating actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing actions or activities being done

    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
    absolutely
    -0.60
    Rated
    -0.58
    ufact
    -0.54
     Flavoring
    -0.54
    onential
    -0.54
     Laos
    -0.53
    Especially
    -0.52
     laun
    -0.51
     Vide
    -0.51
     Dull
    -0.50
    POSITIVE LOGITS
    ,
    0.69
     they
    0.66
    hea
    0.64
    iosis
    0.63
    ebus
    0.63
    angelo
    0.63
    é¾įåĸļ士
    0.62
     there
    0.60
     Solitaire
    0.60
    pless
    0.60
    Activations Density 0.138%

    No Known Activations