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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. 6-RES-JB
    11. 9215
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    INDEX
    Explanations

    terms related to levels of intensity or significance

    oai_token-act-pair · gpt-3.5-turbo

    adverbs that describe the manner of actions or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cade
    -0.72
    arya
    -0.71
    eto
    -0.67
     Majority
    -0.67
    retty
    -0.67
     Voy
    -0.64
    uese
    -0.64
     Timbers
    -0.64
    hyde
    -0.63
     Payne
    -0.63
    POSITIVE LOGITS
     spaced
    0.90
    protected
    0.77
     constructed
    0.75
     educated
    0.73
     insignificant
    0.73
     vaccinated
    0.71
     overlapping
    0.70
     defined
    0.70
     separated
    0.70
     placed
    0.70
    Activations Density 0.166%

    No Known Activations