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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. 11-RES-JB
    11. 42
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    INDEX
    Explanations

    sequences of actions or events in a chronological order

    oai_token-act-pair · gpt-3.5-turbo

    references to social media and digital content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Had
    -0.74
    poke
    -0.69
    hene
    -0.69
    gged
    -0.69
    Had
    -0.65
    oga
    -0.63
    tained
    -0.63
    had
    -0.59
     posed
    -0.58
    rote
    -0.57
    POSITIVE LOGITS
     disappears
    1.28
    usually
    1.15
     becomes
    1.15
     loses
    1.14
     invariably
    1.13
     dies
    1.12
     emerges
    1.11
     fades
    1.10
     ceases
    1.10
    Eventually
    1.05
    Activations Density 0.895%

    No Known Activations