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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
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    Explanations

    terms related to the terror group Hamas

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "amas" and its variations

    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
    culosis
    -0.79
    uating
    -0.70
    sheet
    -0.65
    entanyl
    -0.63
     Burnett
    -0.63
    llers
    -0.61
     Asheville
    -0.61
     hazard
    -0.61
    odox
    -0.61
    fare
    -0.60
    POSITIVE LOGITS
    qua
    1.10
    amas
    1.06
    utra
    0.89
    chool
    0.78
    aurus
    0.78
    ãĤ±
    0.77
    creen
    0.77
    alam
    0.76
    mas
    0.76
    henko
    0.76
    Activations Density 0.007%

    No Known Activations