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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. 3-RES-JB
    11. 18464
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    INDEX
    Explanations

    numerical values that represent various volumes

    oai_token-act-pair · gpt-3.5-turbo

    references to specific volumes in a series of books or comics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.84
    hod
    -0.67
    erate
    -0.67
    arty
    -0.66
    owsky
    -0.66
     injected
    -0.64
    spe
    -0.64
     Bots
    -0.63
     Cutter
    -0.62
     Spe
    -0.62
    POSITIVE LOGITS
    Volume
    0.97
     manuscript
    0.97
     paperback
    0.96
     anthology
    0.96
    isodes
    0.95
    books
    0.93
     volumes
    0.93
    Anth
    0.89
    Synopsis
    0.88
     chapters
    0.84
    Activations Density 0.077%

    No Known Activations