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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. 6-RES-JB
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    Explanations

    words associated with negative emotions towards individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong negative feelings, particularly hatred

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ODE
    -0.79
     helicop
    -0.77
    umm
    -0.74
    aqu
    -0.73
    USE
    -0.69
    graded
    -0.69
    UNCH
    -0.68
    pletion
    -0.67
    ATURE
    -0.66
    Interstitial
    -0.65
    POSITIVE LOGITS
     towards
    0.91
     hatred
    0.89
    yip
    0.88
     toward
    0.87
     vengeance
    0.87
     prejudice
    0.83
     rage
    0.78
     revenge
    0.72
    fully
    0.71
     spew
    0.69
    Activations Density 0.036%

    No Known Activations