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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. 8-RES-JB
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    Explanations

    mentions of hunger strikes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hunger in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.72
    oral
    -0.71
    semble
    -0.70
     Gentleman
    -0.70
    agall
    -0.70
     Gentle
    -0.68
     Mons
    -0.67
    esan
    -0.67
    rium
    -0.66
    recomm
    -0.65
    POSITIVE LOGITS
     hunger
    0.96
     strikers
    0.88
     appetite
    0.84
     hungry
    0.83
     craving
    0.78
     meals
    0.76
     striker
    0.76
    itiveness
    0.75
     pains
    0.74
     thirsty
    0.74
    Activations Density 0.033%

    No Known Activations