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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. 10-RES-JB
    11. 6932
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    Explanations

    food-related terms or actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to flamboyant or ostentatious characteristics or behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FTWARE
    -0.68
    CHR
    -0.65
     DMCA
    -0.64
     pleas
    -0.63
     Wo
    -0.61
    Lago
    -0.60
     heritage
    -0.59
     thumb
    -0.58
     justice
    -0.58
     Avengers
    -0.58
    POSITIVE LOGITS
    idity
    0.95
    rative
    0.93
    arty
    0.92
    erer
    0.92
    idation
    0.89
    agles
    0.89
    idated
    0.87
    odor
    0.86
    orescent
    0.85
    erers
    0.85
    Activations Density 0.043%

    No Known Activations