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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. 6-RES-JB
    11. 4448
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    Explanations

    references to military equipment and operations, including specific names of aircraft and missiles

    oai_token-act-pair · gpt-3.5-turbo

    names of birds, particularly those associated with military or metaphorical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    earch
    -0.81
    perature
    -0.80
    esters
    -0.79
    ettings
    -0.76
    ĸļ
    -0.75
    meric
    -0.72
    ör
    -0.72
    had
    -0.71
    erent
    -0.71
    eller
    -0.70
    POSITIVE LOGITS
     Claw
    0.97
     Scout
    0.95
     Corps
    0.94
    hawk
    0.93
     Dove
    0.91
     Rider
    0.90
     Heights
    0.89
     Landing
    0.89
     Scouts
    0.88
     Eye
    0.88
    Activations Density 0.111%

    No Known Activations