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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. 7-RES-JB
    11. 18990
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    INDEX
    Explanations

    mentions of high-quality items or products

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with high quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kens
    -0.75
     teasp
    -0.73
    ften
    -0.73
    thur
    -0.69
    pole
    -0.66
    apo
    -0.65
     bitterly
    -0.64
    wild
    -0.64
    alter
    -0.63
     crou
    -0.63
    POSITIVE LOGITS
     assurance
    0.85
    DragonMagazine
    0.77
    umenthal
    0.76
    iov
    0.76
     specimen
    0.75
     goods
    0.75
    smanship
    0.74
    bytes
    0.74
     footage
    0.73
     quality
    0.72
    Activations Density 0.027%

    No Known Activations