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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. 3-RES-JB
    11. 23137
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    Explanations

    references to third parties

    oai_token-act-pair · gpt-3.5-turbo

    references to third-party involvement or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++++++++++++++++
    -0.76
    ISTORY
    -0.68
    Money
    -0.68
    UTION
    -0.65
    Tokens
    -0.65
     Chow
    -0.64
    staking
    -0.64
    Boost
    -0.63
     Limits
    -0.63
     Guides
    -0.63
    POSITIVE LOGITS
     baseman
    1.19
    rd
    1.03
     inning
    0.84
    irty
    0.83
    ority
    0.79
     quarters
    0.77
    ieth
    0.76
     consecutive
    0.76
    quel
    0.74
    uous
    0.73
    Activations Density 0.030%

    No Known Activations