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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. 2-RES-JB
    11. 21374
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    INDEX
    Explanations

    superlatives or phrases indicating high quality or praise

    oai_token-act-pair · gpt-3.5-turbo

    words expressing greatness or exceptional quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ople
    -0.73
    earchers
    -0.68
    pex
    -0.67
    NetMessage
    -0.66
    mint
    -0.63
    nery
    -0.62
    ptin
    -0.62
     hijacked
    -0.61
    oided
    -0.60
     resur
    -0.60
    POSITIVE LOGITS
    est
    1.01
    er
    0.88
    great
    0.82
    sword
    0.77
    emouth
    0.77
    itudinal
    0.76
    itud
    0.75
     Divide
    0.75
    reek
    0.74
    ãĥ¤
    0.74
    Activations Density 0.009%

    No Known Activations