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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. 8-RES-JB
    11. 2085
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    INDEX
    Explanations

    references to quick actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "snap" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.85
    vernment
    -0.81
    ative
    -0.77
    icist
    -0.72
    uana
    -0.67
    ausible
    -0.64
    ensable
    -0.63
    iox
    -0.63
    iosyncr
    -0.62
    ricular
    -0.61
    POSITIVE LOGITS
    dragon
    1.21
    shot
    1.01
    chat
    0.98
    shots
    0.93
    laus
    0.87
    CHAT
    0.84
    caster
    0.80
     snapped
    0.78
    bucks
    0.76
     snapping
    0.74
    Activations Density 0.041%

    No Known Activations