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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. 9-RES-JB
    11. 2743
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    INDEX
    Explanations

    numerical values or words related to lines like "line count" and "global line items" excluding generic phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to "line 2"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CVE
    -0.82
    âĺħâĺħ
    -0.77
    CLASSIFIED
    -0.71
    ignty
    -0.67
    ndum
    -0.66
    ILLE
    -0.64
     salts
    -0.63
    JUST
    -0.63
    sburg
    -0.61
    STEM
    -0.61
    POSITIVE LOGITS
    backer
    1.29
    ups
    1.21
    ages
    1.13
    aments
    1.10
    breaks
    0.98
    up
    0.97
    break
    0.91
    breaking
    0.90
    agers
    0.83
    draw
    0.83
    Activations Density 0.055%

    No Known Activations