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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    references to the sports team "Hawks"

    oai_token-act-pair · gpt-3.5-turbo

    references to the Hawks, likely a sports team, and their performance or related discussions

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

    No Comments

    Negative Logits
    afort
    -0.76
    UTION
    -0.67
    ATES
    -0.66
    vable
    -0.65
    obos
    -0.65
    anchester
    -0.64
    ocre
    -0.64
    VICE
    -0.63
    uder
    -0.62
    ãĥ¼ãĥ
    -0.62
    POSITIVE LOGITS
     Hawks
    0.93
    worth
    0.91
    men
    0.83
    intosh
    0.83
     Nest
    0.83
    masters
    0.82
    linger
    0.81
    matic
    0.81
    haw
    0.80
    lings
    0.79
    Activations Density 0.011%

    No Known Activations