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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. 11-RES-JB
    11. 1260
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of square brackets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     occasionally
    -0.67
     aver
    -0.66
     Lia
    -0.65
     factories
    -0.65
     redu
    -0.65
     every
    -0.64
     masses
    -0.64
     farms
    -0.64
     diminishing
    -0.63
     intellig
    -0.62
    POSITIVE LOGITS
    ?]
    1.66
    REDACTED
    1.53
    email
    1.49
    sic
    1.48
    !]
    1.45
    actionDate
    1.44
    ](
    1.38
    externalActionCode
    1.32
    %]
    1.31
     edit
    1.31
    Activations Density 0.058%

    No Known Activations