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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. 660
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    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with tests, evaluations, or challenges

    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
    photos
    -0.71
    deen
    -0.67
    owder
    -0.63
    RAW
    -0.62
    History
    -0.61
    ongh
    -0.61
    idium
    -0.61
    oir
    -0.61
    Rated
    -0.59
    Kit
    -0.59
    POSITIVE LOGITS
     fallacy
    0.89
     assumption
    0.76
     denomin
    0.74
    arro
    0.72
     semantics
    0.72
     assumptions
    0.71
     meta
    0.70
     caveat
    0.69
     slope
    0.69
     inherent
    0.69
    Activations Density 0.862%

    No Known Activations