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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. 0-RES-JB
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    Explanations

    sweet food items or experiences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sweet" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Occupations
    -0.73
    vernment
    -0.73
    Guard
    -0.71
    abase
    -0.68
    ians
    -0.68
    ror
    -0.67
     Liberation
    -0.67
    rax
    -0.65
    management
    -0.65
    culosis
    -0.63
    POSITIVE LOGITS
     sweet
    3.47
    sweet
    2.84
    Sweet
    2.29
     Sweet
    2.16
     sweetness
    2.02
     sweets
    1.59
     swe
    1.58
     sugar
    1.28
     honey
    1.27
     lovely
    1.25
    Activations Density 0.023%

    No Known Activations