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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. 4-RES-JB
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    Explanations

    the word "scream" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "scream" and its variations

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

    No Comments

    Negative Logits
    ilege
    -0.90
    omaly
    -0.80
    Arthur
    -0.78
    folios
    -0.75
     Cheong
    -0.67
    rost
    -0.67
    jud
    -0.65
    ajo
    -0.64
    Place
    -0.63
    folio
    -0.62
    POSITIVE LOGITS
     louder
    0.98
     scream
    0.90
     aloud
    0.90
     Scream
    0.90
     screamed
    0.89
     screaming
    0.88
     loudly
    0.86
     screams
    0.80
    baby
    0.78
     begging
    0.75
    Activations Density 0.011%

    No Known Activations