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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. 1-RES-JB
    11. 18675
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    Explanations

    words related to locations or terms related to carrying out activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of establishments or conditions associated with facilitation or management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DPR
    -0.68
     HW
    -0.64
     Charlottesville
    -0.64
     Feder
    -0.64
    MER
    -0.63
     Tornado
    -0.63
     Mi
    -0.63
     Kendall
    -0.63
    ETF
    -0.62
     Vend
    -0.62
    POSITIVE LOGITS
    atory
    1.57
    atories
    1.19
    chnology
    0.92
    rog
    0.89
    ration
    0.84
    rarily
    0.80
    hetic
    0.78
    zes
    0.76
    hea
    0.76
     minded
    0.75
    Activations Density 0.012%

    No Known Activations