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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. 23015
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    Explanations

    mentions of windows being broken, installed, or related to a crime

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "windows"

    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
    TO
    -0.76
    IGH
    -0.75
    psy
    -0.68
     Uz
    -0.67
    ghan
    -0.65
    REDACTED
    -0.64
    ZE
    -0.64
    zing
    -0.63
    Contribut
    -0.63
    OTAL
    -0.63
    POSITIVE LOGITS
     windows
    1.27
     curtains
    1.03
     window
    1.02
    windows
    1.01
     wip
    0.99
     pane
    0.95
     Window
    0.90
     doors
    0.85
     balcon
    0.79
    stones
    0.78
    Activations Density 0.005%

    No Known Activations