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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. 4-RES-JB
    11. 22269
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    Explanations

    words related to physical feelings or sensations, especially negative ones

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "fe" within words

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

    No Comments

    Negative Logits
    worthy
    -0.73
     GEAR
    -0.69
    antically
    -0.67
     ANGEL
    -0.63
    stood
    -0.62
    stretched
    -0.62
    ova
    -0.61
    70710
    -0.61
     Colleges
    -0.60
     owl
    -0.59
    POSITIVE LOGITS
    eling
    1.09
    els
    0.98
    ck
    0.95
    ffer
    0.94
    lda
    0.93
    cking
    0.93
    cker
    0.91
    elin
    0.90
    efe
    0.89
    ruary
    0.88
    Activations Density 0.006%

    No Known Activations