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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. 3-RES-JB
    11. 11297
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    Explanations

    words related to negative impacts or harm

    oai_token-act-pair · gpt-3.5-turbo

    expressions of harm or negative impact on individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quest
    -0.72
    cle
    -0.71
    aut
    -0.71
    alled
    -0.71
    gran
    -0.71
    oys
    -0.69
    DragonMagazine
    -0.69
    aque
    -0.68
    ult
    -0.67
    au
    -0.67
    POSITIVE LOGITS
     undermin
    0.89
     badly
    0.85
     disadvant
    0.84
     hurting
    0.81
     adversely
    0.77
    lehem
    0.74
     havoc
    0.73
    IELD
    0.72
     adolesc
    0.71
     Pwr
    0.70
    Activations Density 0.024%

    No Known Activations