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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. 21726
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    Explanations

    keywords related to direction or diversion

    oai_token-act-pair · gpt-3.5-turbo

    terms related to divergence and differentiation

    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
    added
    -0.68
     Micha
    -0.67
     cel
    -0.63
     Archdemon
    -0.61
    areth
    -0.61
    ATA
    -0.60
    Fax
    -0.59
     McMaster
    -0.59
     Honour
    -0.58
     Sheridan
    -0.58
    POSITIVE LOGITS
    gent
    1.41
    gence
    1.25
    gencies
    1.14
    ging
    1.08
    gency
    1.04
    gently
    1.02
    ged
    0.99
    tic
    0.90
    isher
    0.85
    ge
    0.83
    Activations Density 0.057%

    No Known Activations