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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. 8776
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    Explanations

    words related to countries

    oai_token-act-pair · gpt-3.5-turbo

    words related to wealth or affluence

    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
    usalem
    -0.70
    iction
    -0.68
     disparate
    -0.65
    oresc
    -0.65
     arresting
    -0.65
    ogged
    -0.65
    olved
    -0.64
     tampering
    -0.63
    igating
    -0.62
    apo
    -0.62
    POSITIVE LOGITS
    aire
    0.92
    eers
    0.82
     Lys
    0.77
    coat
    0.75
    tie
    0.72
    child
    0.71
    uay
    0.70
     Francois
    0.70
    prises
    0.69
    rics
    0.69
    Activations Density 0.007%

    No Known Activations