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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. 7-RES-JB
    11. 18072
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    Explanations

    financial indicators and mathematical expressions

    oai_token-act-pair · gpt-3.5-turbo

    mathematical symbols and notation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ingham
    -0.81
    arily
    -0.68
     Franch
    -0.67
     Gors
    -0.65
     Frie
    -0.61
     Hastings
    -0.60
     Shake
    -0.59
     Kin
    -0.58
    ierre
    -0.58
     Kag
    -0.58
    POSITIVE LOGITS
    /-
    0.87
    >)
    0.82
    ?)
    0.76
    ?),
    0.69
    ython
    0.69
    dayName
    0.69
    ourage
    0.68
    !]
    0.68
    phant
    0.67
    REDACTED
    0.67
    Activations Density 0.025%

    No Known Activations