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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. 9409
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    Explanations

    phrases indicating an inference or perception of how something appears or is interpreted

    oai_token-act-pair · gpt-3.5-turbo

    phrases and constructions that express perceptions or appearances

    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
    ategory
    -0.80
    elaide
    -0.74
    EStreamFrame
    -0.74
    venge
    -0.73
    ufact
    -0.71
    pour
    -0.71
    estern
    -0.70
    shaw
    -0.69
    iding
    -0.66
     Bastard
    -0.66
    POSITIVE LOGITS
    INGS
    0.96
    rils
    0.85
    ings
    0.84
    lihood
    0.79
    rences
    0.77
    ibility
    0.76
    ãĤ¨
    0.73
     contradictions
    0.72
    ãĤ§
    0.71
    ा
    0.70
    Activations Density 0.038%

    No Known Activations