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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. 4-RES-JB
    11. 6723
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    Explanations

    verbs related to actions taken or events happening

    oai_token-act-pair · gpt-3.5-turbo

    actions related to official processes or approvals

    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
    hov
    -0.67
    gencies
    -0.63
    ennett
    -0.60
     bush
    -0.60
    ggles
    -0.58
    Zone
    -0.57
    ederal
    -0.57
     RIS
    -0.56
     ethic
    -0.55
    sit
    -0.55
    POSITIVE LOGITS
    ãĥ¼ãĥĨ
    0.81
     elsewhere
    0.78
    ĸļ
    0.76
     by
    0.70
     onstage
    0.69
    Initialized
    0.67
     beforehand
    0.66
    daq
    0.66
     psychiat
    0.65
    ynamic
    0.65
    Activations Density 0.382%

    No Known Activations