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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. 998
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    Explanations

    descriptions or accounts related to criminal incidents or legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    references to victims in a narrative context

    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
    aeda
    -0.84
    andel
    -0.83
    leaf
    -0.73
    rosso
    -0.67
    ooks
    -0.67
     fertil
    -0.67
    artney
    -0.63
    eways
    -0.62
    ATIONAL
    -0.62
    aul
    -0.61
    POSITIVE LOGITS
     victim
    1.13
     Victims
    1.06
     victims
    1.06
     Victim
    1.06
    vict
    0.97
    Vict
    0.94
    hood
    0.88
    izes
    0.85
    izers
    0.83
    istics
    0.81
    Activations Density 0.013%

    No Known Activations