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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. 3-RES-JB
    11. 20736
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    Explanations

    words related to multi-level structures or organizations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to multi-level or multi-agency contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.82
     Roe
    -0.81
     Lieutenant
    -0.69
     kicker
    -0.68
     Eck
    -0.66
     Rolls
    -0.65
     Ambro
    -0.65
    PsyNetMessage
    -0.64
     relegation
    -0.63
     Newspaper
    -0.62
    POSITIVE LOGITS
    rencies
    1.06
    cipl
    0.89
    occup
    0.86
    dot
    0.83
    incial
    0.79
    format
    0.79
    unit
    0.79
    doms
    0.77
    allic
    0.76
    colored
    0.76
    Activations Density 0.084%

    No Known Activations