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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. 12463
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    Explanations

    verbs expressing completion or accomplishment

    oai_token-act-pair · gpt-3.5-turbo

    past tense verbs indicating actions or achievements

    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
     Racer
    -0.63
    MJ
    -0.62
    Subject
    -0.61
     Manit
    -0.61
     Later
    -0.59
    MI
    -0.59
    adj
    -0.59
     Mol
    -0.57
     Sm
    -0.56
     Hort
    -0.56
    POSITIVE LOGITS
    ĸļ
    0.89
    avering
    0.79
    oken
    0.78
    iless
    0.72
    ahime
    0.70
     since
    0.70
    phas
    0.70
    igated
    0.68
    tein
    0.67
     sufficiently
    0.66
    Activations Density 0.461%

    No Known Activations