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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. 1975
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    Explanations

    phrases related to tearing something apart physically or metaphorically

    oai_token-act-pair · gpt-3.5-turbo

    themes of division and separation

    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
    cius
    -0.84
    anwhile
    -0.83
    joining
    -0.78
     teasp
    -0.72
    ammy
    -0.70
     reluct
    -0.69
    zbollah
    -0.67
    Zone
    -0.67
    appa
    -0.66
    vice
    -0.66
    POSITIVE LOGITS
     asphalt
    0.86
     Snapdragon
    0.79
     havoc
    0.78
     IMAGES
    0.74
     headlines
    0.73
     fragments
    0.68
     pg
    0.64
     shards
    0.63
     scraps
    0.63
     flakes
    0.63
    Activations Density 0.070%

    No Known Activations