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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. 11-RES-JB
    11. 6072
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    Explanations

    phrases related to hunting or hunting-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to hunting and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mellon
    -0.71
    orean
    -0.68
     holders
    -0.67
    avier
    -0.64
     Leilan
    -0.64
    AGE
    -0.61
    ruction
    -0.60
    ible
    -0.60
    eon
    -0.60
    adian
    -0.59
    POSITIVE LOGITS
    sonian
    0.92
    ress
    0.92
    tin
    0.89
    resses
    0.85
    hunt
    0.84
     hunts
    0.80
     Hunting
    0.79
     hunting
    0.77
    hun
    0.76
     hunt
    0.76
    Activations Density 0.073%

    No Known Activations