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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of pistols

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific types of firearms, particularly pistols

    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
    rians
    -0.86
    rian
    -0.82
    iannopoulos
    -0.80
    eff
    -0.80
    unes
    -0.69
     Hort
    -0.69
    dit
    -0.69
    alg
    -0.69
     Debor
    -0.68
    yll
    -0.67
    POSITIVE LOGITS
     pistol
    1.12
     pistols
    1.04
     shooter
    0.94
     holster
    0.94
     handgun
    0.93
     wielding
    0.83
    powder
    0.83
     Pistol
    0.82
     revolver
    0.81
     shooters
    0.80
    Activations Density 0.012%

    No Known Activations