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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. 8-RES-JB
    11. 7289
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    Explanations

    terms related to ranking and grading

    oai_token-act-pair · gpt-3.5-turbo

    terms related to ranking and evaluation systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bara
    -0.83
    Fax
    -0.82
    jet
    -0.81
    ivan
    -0.73
    efe
    -0.73
    kat
    -0.73
    WithNo
    -0.73
    tek
    -0.71
    Else
    -0.70
    ARM
    -0.70
    POSITIVE LOGITS
     probabilities
    1.20
     standings
    1.15
     rankings
    1.07
     matchups
    0.98
     shapes
    0.96
     preferences
    0.93
     determines
    0.91
     tiers
    0.91
     chronological
    0.90
     each
    0.90
    Activations Density 1.042%

    No Known Activations