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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. 0-RES-JB
    11. 18926
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    INDEX
    Explanations

    numbers representing scores or ratings

    oai_token-act-pair · gpt-3.5-turbo

    repeated numeric patterns or sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     secrecy
    -0.66
     clearing
    -0.66
     drift
    -0.63
     profit
    -0.62
     prominence
    -0.61
     suff
    -0.59
     kind
    -0.59
     mess
    -0.59
     notice
    -0.59
     questioning
    -0.59
    POSITIVE LOGITS
    8
    3.22
    9
    2.52
    7
    2.45
    6
    2.35
    5
    2.10
    4
    2.07
    864
    1.82
    866
    1.76
    825
    1.75
    3
    1.72
    Activations Density 0.022%

    No Known Activations