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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. 4-RES-JB
    11. 24096
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    Explanations

    comparisons indicating something is not fully meeting expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating degree or intensity of a statement, particularly those using "quite."

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

    No Comments

    Negative Logits
    olan
    -0.81
     DRAG
    -0.74
    lessness
    -0.68
    selage
    -0.68
    uments
    -0.68
    runtime
    -0.67
    rys
    -0.67
    ="/
    -0.64
    ysc
    -0.64
    externalActionCode
    -0.63
    POSITIVE LOGITS
     enough
    0.80
     spo
    0.77
     bothered
    0.76
     Enough
    0.75
     spoil
    0.73
     satisfactory
    0.69
    icable
    0.68
     anymore
    0.67
     bother
    0.65
     spoon
    0.65
    Activations Density 0.011%

    No Known Activations