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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. 8620
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    INDEX
    Explanations

    contractions using "can't"

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing inability or negation

    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
    CI
    -0.72
    imity
    -0.68
    estate
    -0.65
     Appears
    -0.65
    ItemImage
    -0.64
    ELD
    -0.63
    heavy
    -0.63
    senal
    -0.63
    INC
    -0.62
     bount
    -0.61
    POSITIVE LOGITS
     afford
    1.30
     imagine
    0.94
     feas
    0.93
     cope
    0.91
     tolerate
    0.90
     reproduce
    0.88
     decipher
    0.87
     conceive
    0.86
     compete
    0.86
     realistically
    0.86
    Activations Density 0.057%

    No Known Activations