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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. 9-RES-JB
    11. 4851
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    Explanations

    spokespersons mentioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "spokesman" or variations thereof

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    spir
    -0.76
    iHUD
    -0.71
    rooms
    -0.66
     dream
    -0.62
    venge
    -0.61
    Imp
    -0.60
    Winner
    -0.59
    VEN
    -0.58
    killing
    -0.58
     eaves
    -0.58
    POSITIVE LOGITS
     spokesman
    0.94
     emailed
    0.88
     spokesperson
    0.85
     spokeswoman
    0.82
    atoon
    0.78
     clarified
    0.77
     confirmed
    0.76
    rored
    0.76
     declined
    0.73
     reiterated
    0.73
    Activations Density 0.039%

    No Known Activations