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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. 3-RES-JB
    11. 4835
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    Explanations

    words related to hunting activities

    oai_token-act-pair · gpt-3.5-turbo

    references to hunting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iating
    -0.72
    DCS
    -0.70
    Pad
    -0.70
    graded
    -0.70
    iations
    -0.69
    Downloadha
    -0.68
    iop
    -0.67
    AGE
    -0.66
    Rated
    -0.66
    adian
    -0.64
    POSITIVE LOGITS
     hunts
    1.00
     hunting
    0.97
     hunters
    0.95
     hunter
    0.94
     Hunting
    0.91
    eers
    0.91
    thur
    0.90
    tin
    0.88
     rifles
    0.86
     hunt
    0.82
    Activations Density 0.011%

    No Known Activations