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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. 21534
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    INDEX
    Explanations

    adjectives related to persistence or intensity

    oai_token-act-pair · gpt-3.5-turbo

    recurrent themes of persistence and aggression

    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
    ulet
    -0.77
    brance
    -0.77
    pty
    -0.76
    ublic
    -0.76
    emis
    -0.75
    iture
    -0.73
    rote
    -0.71
    OTA
    -0.68
     Rite
    -0.68
    acular
    -0.68
    POSITIVE LOGITS
     ruth
    1.03
     merciless
    1.01
     ruthless
    1.00
     honesty
    0.99
     relentless
    0.93
     unrel
    0.92
     uncomp
    0.83
     onslaught
    0.83
     relentlessly
    0.82
     ferocious
    0.80
    Activations Density 0.024%

    No Known Activations