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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. 1-RES-JB
    11. 13284
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    Explanations

    terms related to sports performance such as "scorer" and also scoreboard-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring or points in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agan
    -0.78
    arching
    -0.69
    romy
    -0.68
    kay
    -0.64
     commuting
    -0.64
    oard
    -0.63
    iltration
    -0.63
    tones
    -0.63
    bull
    -0.62
    artney
    -0.61
    POSITIVE LOGITS
     scorer
    1.22
    itatively
    0.96
    otle
    0.94
    ãĥ¼ãĥĨãĤ£
    0.92
    IUM
    0.92
    ¯¯¯¯
    0.91
     enthusi
    0.90
    OGR
    0.85
    wright
    0.84
    -+-+
    0.78
    Activations Density 0.006%

    No Known Activations