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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. 18847
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    Explanations

    specific locations or points indicated by the letters A and B

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific alphanumeric designations or labels

    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
    Not in Any Lists

    No Comments

    Negative Logits
    mosp
    -0.76
    etimes
    -0.66
    doms
    -0.65
     oath
    -0.65
    ropolitan
    -0.63
    awaru
    -0.61
    nesses
    -0.60
    âĸ¬âĸ¬
    -0.59
    lore
    -0.58
    Season
    -0.58
    POSITIVE LOGITS
    cca
    0.71
    ļéĨĴ
    0.69
    rawn
    0.68
    HB
    0.66
    05
    0.64
     Corridor
    0.63
    âĢ²
    0.62
    XXXX
    0.62
    002
    0.62
     Dres
    0.62
    Activations Density 0.133%

    No Known Activations