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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. 1-RES-JB
    11. 15800
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    Explanations

    related to bleeding or physical injuries

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bleeding or blood-related imagery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.86
     Flavoring
    -0.83
    ECH
    -0.81
    ordan
    -0.80
    ourke
    -0.80
    REP
    -0.79
    ATT
    -0.78
    AD
    -0.77
    Policy
    -0.76
    FO
    -0.75
    POSITIVE LOGITS
     bleeding
    1.26
     hemorrh
    0.98
     bleed
    0.97
    ©¶æ¥µ
    0.83
     hemor
    0.80
     tiss
    0.76
    stones
    0.76
    ħĭ
    0.75
     skelet
    0.75
     prof
    0.74
    Activations Density 0.010%

    No Known Activations