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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. 11319
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    INDEX
    Explanations

    the word "it" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    rhetorical questions that challenge moral or philosophical concepts

    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
    papers
    -0.71
    bies
    -0.71
    animal
    -0.69
    transfer
    -0.67
    devices
    -0.65
    terms
    -0.65
    usters
    -0.64
    wake
    -0.64
    continue
    -0.64
    dit
    -0.63
    POSITIVE LOGITS
     conceivable
    0.87
     raining
    0.87
    unes
    0.87
    alian
    0.83
     ironic
    0.82
     advisable
    0.81
     unclear
    0.78
    chy
    0.76
     really
    0.74
     feasible
    0.74
    Activations Density 0.051%

    No Known Activations