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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. 4782
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    INDEX
    Explanations

    assertions or explanations relating to causes or reasons

    oai_token-act-pair · gpt-3.5-turbo

    statements that express reasons or justifications for various actions or events

    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
     puck
    -0.68
     Roller
    -0.66
    yss
    -0.66
     stocking
    -0.65
    ibaba
    -0.65
     helicop
    -0.64
     Carbuncle
    -0.63
     needle
    -0.63
     Lag
    -0.63
    KY
    -0.62
    POSITIVE LOGITS
     why
    1.05
    abl
    0.96
     WHY
    0.90
    why
    0.86
    Reviewer
    0.80
    FORE
    0.78
    ="#
    0.76
     justifying
    0.75
    usercontent
    0.74
     cele
    0.73
    Activations Density 0.027%

    No Known Activations