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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. 10-RES-JB
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    Explanations

    instances of knocking actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of knocking or banging on doors or windows

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.81
    utan
    -0.78
    jri
    -0.74
    +.
    -0.71
    owship
    -0.70
    ;;;;;;;;;;;;
    -0.69
    arnaev
    -0.68
    agascar
    -0.67
    abama
    -0.66
    iterranean
    -0.66
    POSITIVE LOGITS
     doors
    1.68
     door
    1.47
     Door
    1.22
     Doors
    1.07
    door
    1.04
     gates
    1.04
     windows
    0.99
     doorway
    0.96
     curtains
    0.95
    doors
    0.91
    Activations Density 0.075%

    No Known Activations