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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. 4252
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    Explanations

    social-related terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to social behavior and social sciences

    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
    nces
    -0.82
    atche
    -0.77
    gran
    -0.76
    VL
    -0.76
    xual
    -0.74
    wered
    -0.72
    urga
    -0.71
    ursed
    -0.70
    DEN
    -0.69
    renheit
    -0.69
    POSITIVE LOGITS
     norms
    0.96
     interaction
    0.95
     interactions
    0.92
     cues
    0.89
     relations
    0.87
     dynamics
    0.82
     constructs
    0.81
    istic
    0.80
    ized
    0.78
     gatherings
    0.78
    Activations Density 0.024%

    No Known Activations