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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. 340
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    Explanations

    specific symbols or characters

    oai_token-act-pair · gpt-3.5-turbo

    symbols or special characters in written text

    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
    odcast
    -0.77
    idem
    -0.65
    ppings
    -0.63
    oit
    -0.62
    osing
    -0.61
    ests
    -0.60
    angers
    -0.58
     antioxid
    -0.58
    eding
    -0.57
    owers
    -0.57
    POSITIVE LOGITS
    âĢķ
    1.52
     âĢķ
    1.41
    ––
    0.88
    ——
    0.85
    ··
    0.82
    ¯¯
    0.76
    âĸº
    0.75
    EStream
    0.75
    puter
    0.73
    ————
    0.73
    Activations Density 0.004%

    No Known Activations