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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. 3-RES-JB
    11. 18596
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    Explanations

    specific locations and addresses

    oai_token-act-pair · gpt-3.5-turbo

    road names or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.72
    eers
    -0.71
    schild
    -0.63
    MENT
    -0.63
    anwhile
    -0.63
    horn
    -0.61
    puff
    -0.61
     vetted
    -0.60
     grappling
    -0.60
     councils
    -0.59
    POSITIVE LOGITS
     Rd
    0.88
    aceutical
    0.87
    yssey
    0.77
    osure
    0.75
    .,
    0.71
    DNA
    0.70
    igious
    0.69
    oute
    0.69
    NR
    0.69
    htt
    0.68
    Activations Density 0.013%

    No Known Activations