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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. 1657
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    Explanations

    negative adjectives related to actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    negative or cautionary terms associated with advice or behaviors

    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
     antioxid
    -0.90
    ħĭ
    -0.81
     Enhancement
    -0.77
     Doctrine
    -0.69
     guiActiveUnfocused
    -0.69
     opio
    -0.68
     Forestry
    -0.67
     Puzzles
    -0.67
     Zup
    -0.66
     unden
    -0.65
    POSITIVE LOGITS
    gotten
    0.83
    luster
    0.74
     maiden
    0.74
    rious
    0.73
    nesses
    0.73
    ady
    0.72
    ately
    0.69
    nered
    0.69
    utton
    0.67
    owship
    0.66
    Activations Density 0.072%

    No Known Activations