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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. 9-RES-JB
    11. 3484
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    Explanations

    phrases related to the arrest or capture of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people involved in criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    indust
    -0.76
    uces
    -0.75
    HAHAHAHA
    -0.73
    supp
    -0.71
    verage
    -0.70
    forcement
    -0.70
    tains
    -0.68
    iti
    -0.68
    trop
    -0.67
    population
    -0.66
    POSITIVE LOGITS
     selves
    0.96
     were
    0.94
     reunited
    0.94
     boarded
    0.93
    selves
    0.90
     husbands
    0.89
     together
    0.86
     duo
    0.86
     jointly
    0.85
     brothers
    0.82
    Activations Density 0.365%

    No Known Activations