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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. 1-RES-JB
    11. 13534
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    Explanations

    mentions of concealed items or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to concealed carry and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Archdemon
    -0.87
    ese
    -0.78
    unes
    -0.75
    ynt
    -0.66
     Stru
    -0.65
    ¯¯¯¯
    -0.65
    akings
    -0.65
    ICH
    -0.65
    td
    -0.64
    eday
    -0.64
    POSITIVE LOGITS
     concealed
    1.45
     conceal
    1.02
     handgun
    0.99
     Conce
    0.94
     handguns
    0.89
     camoufl
    0.85
     firearms
    0.84
     firearm
    0.81
     misunder
    0.81
     permit
    0.80
    Activations Density 0.007%

    No Known Activations