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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. 13672
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    Explanations

    instances of shooting or firing actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fired" and its variations, particularly in contexts involving weapons or violence

    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
    Label
    -0.83
    Redditor
    -0.73
    Leaks
    -0.71
    Score
    -0.67
    女
    -0.67
    -|
    -0.66
    clusion
    -0.64
    patient
    -0.63
    esan
    -0.62
    éĸ
    -0.62
    POSITIVE LOGITS
     bullets
    1.09
     gunshots
    1.09
     arrows
    1.02
     missiles
    1.01
     projectiles
    1.00
     lasers
    0.96
    bomb
    0.93
     rifles
    0.92
     shots
    0.92
     volley
    0.91
    Activations Density 0.067%

    No Known Activations