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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. 7-RES-JB
    11. 18794
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    Explanations

    words related to intensifying actions or qualities

    oai_token-act-pair · gpt-3.5-turbo

    various suffixes indicating forms or properties related to words in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.73
    sat
    -0.68
     CoC
    -0.68
    «
    -0.67
    schild
    -0.67
    awar
    -0.66
    ANE
    -0.65
    jri
    -0.65
     Hacker
    -0.65
    ij士
    -0.63
    POSITIVE LOGITS
    ments
    0.88
    iances
    0.85
    asons
    0.84
    ment
    0.78
    mosp
    0.76
    iation
    0.74
    iveness
    0.73
    ily
    0.71
    ially
    0.70
    isms
    0.69
    Activations Density 0.228%

    No Known Activations