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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. 6-RES-JB
    11. 5624
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    INDEX
    Explanations

    mentions of emphasis or significance

    oai_token-act-pair · gpt-3.5-turbo

    the use of the article "a" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    psons
    -0.99
    ultimate
    -0.86
    aris
    -0.76
    otte
    -0.76
    mins
    -0.75
    CTV
    -0.74
    ysc
    -0.72
    sylvania
    -0.70
    achus
    -0.70
    pta
    -0.69
    POSITIVE LOGITS
     deterrent
    0.89
     nuisance
    0.86
     tease
    0.82
     situational
    0.79
     coincidence
    0.78
     headache
    0.77
     setback
    0.77
     contradiction
    0.75
     joke
    0.75
     piece
    0.74
    Activations Density 0.068%

    No Known Activations