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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. 4-RES-JB
    11. 20580
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    INDEX
    Explanations

    references to sports qualification or qualifying matches/events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to qualification processes in various contexts

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

    No Comments

    Negative Logits
    orah
    -0.86
     Strauss
    -0.68
     Kinnikuman
    -0.68
    corn
    -0.67
     Rider
    -0.66
    cus
    -0.65
    ographed
    -0.65
    vas
    -0.65
    ":"/
    -0.65
    relative
    -0.64
    POSITIVE LOGITS
     qualifiers
    0.79
     qualification
    0.72
     qualifications
    0.72
    ifiers
    0.70
     qualifying
    0.70
    ifying
    0.68
    ubs
    0.67
     contenders
    0.67
     rounds
    0.67
    ifies
    0.66
    Activations Density 0.010%

    No Known Activations