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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. 9-RES-JB
    11. 8595
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    Explanations

    references to free items or services

    oai_token-act-pair · gpt-3.5-turbo

    mentions of free offers or complimentary services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igham
    -0.81
     sidx
    -0.80
    older
    -0.80
    need
    -0.71
    itect
    -0.68
    onductor
    -0.68
    itta
    -0.66
    ENTION
    -0.64
    amel
    -0.64
     Nieto
    -0.63
    POSITIVE LOGITS
    bies
    1.58
    bie
    1.36
    zers
    1.21
    zing
    1.07
    zes
    1.03
     roam
    0.99
     downloadable
    0.91
    zer
    0.90
     eBook
    0.88
     download
    0.86
    Activations Density 0.037%

    No Known Activations