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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. 1-RES-JB
    11. 985
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    Explanations

    letters or sets of letters

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'g'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tradem
    -0.70
     compr
    -0.68
     mosqu
    -0.66
     subsequ
    -0.65
     chau
    -0.65
     accumulated
    -0.64
     Lauder
    -0.64
     Topic
    -0.63
     examiner
    -0.63
     psychiat
    -0.63
    POSITIVE LOGITS
    asp
    1.25
    mt
    1.13
    ossip
    1.13
    uild
    1.09
    reens
    1.09
    raphics
    1.00
    ifts
    1.00
    raham
    0.98
    angs
    0.98
    arden
    0.97
    Activations Density 0.022%

    No Known Activations