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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. 9-RES-JB
    11. 1977
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    INDEX
    Explanations

    actions or intentions related to knowing or understanding

    oai_token-act-pair · gpt-3.5-turbo

    statements expressing certainty or confidence in one's knowledge or abilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vig
    -0.65
    hement
    -0.63
     anytime
    -0.62
    姫
    -0.61
     Provided
    -0.61
    mony
    -0.60
     Awareness
    -0.58
     somew
    -0.58
     Lives
    -0.57
     Transparency
    -0.56
    POSITIVE LOGITS
    sbm
    0.75
     talking
    0.73
    /$
    0.70
    rowing
    0.65
    READ
    0.65
    doing
    0.65
     barg
    0.63
    PLA
    0.63
     supposed
    0.63
    talking
    0.63
    Activations Density 0.120%

    No Known Activations