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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. 10-RES-JB
    11. 5048
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    INDEX
    Explanations

    mentions of software demos or presentations of technology

    oai_token-act-pair · gpt-3.5-turbo

    references to demos and previews of software or media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leans
    -0.76
    turn
    -0.74
    Else
    -0.71
    lasses
    -0.71
    itably
    -0.71
    respond
    -0.69
    scribe
    -0.69
    otle
    -0.69
    BuyableInstoreAndOnline
    -0.69
    relative
    -0.67
    POSITIVE LOGITS
     reel
    1.07
     sessions
    0.93
     demo
    0.91
     demos
    0.91
     footage
    0.89
     session
    0.86
     tapes
    0.86
     trailer
    0.85
     tape
    0.83
     stage
    0.83
    Activations Density 0.069%

    No Known Activations