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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. 24357
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    Explanations

    phrases related to specific manners or methods of doing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating methods or approaches to actions

    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
    uster
    -0.71
    ¥µ
    -0.71
    onite
    -0.70
     Fernand
    -0.68
    usters
    -0.68
    ricks
    -0.68
    mare
    -0.67
    encer
    -0.67
     fret
    -0.65
    rament
    -0.64
    POSITIVE LOGITS
    point
    0.74
     somew
    0.72
    finder
    0.71
    finding
    0.69
     Judaism
    0.66
     causation
    0.64
    WARD
    0.64
    ward
    0.63
    lasses
    0.62
    asso
    0.62
    Activations Density 0.037%

    No Known Activations