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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. 17181
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    Explanations

    references to previous content within the document

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "above" to reference previously mentioned information

    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
     Guard
    -0.74
     Speedway
    -0.69
     Reborn
    -0.68
    Mail
    -0.66
     Knox
    -0.66
    izens
    -0.64
    eday
    -0.64
    ULTS
    -0.63
     Rounds
    -0.63
    Ring
    -0.62
    POSITIVE LOGITS
    mentioned
    1.33
    ground
    1.01
     mentioned
    0.89
    ebin
    0.86
     snippet
    0.83
     equation
    0.83
     paragraph
    0.81
     caveats
    0.80
     scenario
    0.80
     quote
    0.78
    Activations Density 0.030%

    No Known Activations