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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. 8-RES-JB
    11. 10716
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    INDEX
    Explanations

    names of technology and media companies

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific companies or organizations mentioned in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stract
    -0.69
    osc
    -0.66
    abolic
    -0.65
    lift
    -0.64
    EStreamFrame
    -0.63
    nih
    -0.61
    ocalypse
    -0.61
    raft
    -0.59
    ");
    -0.59
    num
    -0.58
    POSITIVE LOGITS
     meanwhile
    1.90
     however
    1.46
     moreover
    1.21
     unsurprisingly
    1.11
     meantime
    1.04
     likewise
    1.01
     incidentally
    1.00
     therefore
    0.98
     interestingly
    0.94
     furthermore
    0.92
    Activations Density 0.213%

    No Known Activations