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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    instances of the word 'hunger'

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hunger."

    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
    oral
    -0.80
    VICE
    -0.77
     Sax
    -0.75
     Gentleman
    -0.74
    afort
    -0.73
    oteric
    -0.70
     Gentle
    -0.69
     Archangel
    -0.69
    esan
    -0.68
    AGE
    -0.67
    POSITIVE LOGITS
     hunger
    1.17
     strikers
    1.02
     cooker
    0.86
    lust
    0.84
    iness
    0.83
    itiveness
    0.83
     striker
    0.83
     hungry
    0.81
     Hunger
    0.81
    ocity
    0.79
    Activations Density 0.010%

    No Known Activations