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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. 8-RES-JB
    11. 12956
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    Explanations

    actions related to pursuing or following someone or something

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "chase" and its variations in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    animous
    -0.85
    galitarian
    -0.77
    hops
    -0.68
    icka
    -0.68
    ionic
    -0.67
    uben
    -0.65
    osate
    -0.64
     disproportion
    -0.63
    icum
    -0.63
    ition
    -0.63
    POSITIVE LOGITS
     chase
    0.84
    crow
    0.84
     Phant
    0.83
    eers
    0.78
    backs
    0.77
    ttes
    0.73
    ========
    0.72
    =-=-=-=-=-=-=-=-
    0.70
    back
    0.68
    eer
    0.68
    Activations Density 0.041%

    No Known Activations