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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. 4-RES-JB
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    INDEX
    Explanations

    instances of the word "consequences"

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of consequences in various contexts

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

    No Comments

    Negative Logits
    ten
    -0.77
    este
    -0.74
    bor
    -0.73
    zig
    -0.71
    yne
    -0.69
    estine
    -0.69
    erd
    -0.69
    ths
    -0.69
    Tur
    -0.69
    uni
    -0.67
    POSITIVE LOGITS
     consequences
    1.18
     repercussions
    0.98
     havoc
    0.92
     fallout
    0.91
     ramifications
    0.90
     consequence
    0.88
     implications
    0.86
     reperc
    0.83
    bringer
    0.79
    romeda
    0.78
    Activations Density 0.017%

    No Known Activations