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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    It seems that Neuron 4 is looking for descriptions of specific actions involving shooting, firing, or missing targets

    oai_token-act-pair · gpt-3.5-turbo

    terms related to shooting or firearms

    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
     professions
    -0.76
     maternity
    -0.75
     Occupations
    -0.75
     hosting
    -0.71
     blogging
    -0.71
     organizing
    -0.69
     couch
    -0.69
     investing
    -0.69
    orship
    -0.69
     priv
    -0.68
    POSITIVE LOGITS
     deton
    1.08
     graz
    1.05
     penet
    1.04
     ric
    1.01
     penetrating
    1.00
     detonated
    0.99
     volley
    0.97
     penetrate
    0.93
     aimed
    0.92
     hitting
    0.88
    Activations Density 0.503%

    No Known Activations