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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. 3-RES-JB
    11. 24432
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    Explanations

    phrases related to partnerships or collaborations

    oai_token-act-pair · gpt-3.5-turbo

    references to accomplices in criminal contexts

    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
     Origin
    -0.82
     Rite
    -0.79
    DEN
    -0.77
    Ħ¢
    -0.73
    ARB
    -0.68
    lights
    -0.68
     Breath
    -0.65
     Unle
    -0.64
    osate
    -0.64
    )=(
    -0.63
    POSITIVE LOGITS
    ishing
    0.97
    inations
    0.96
    ices
    0.96
    ishment
    0.93
    reys
    0.90
    ishes
    0.88
    icates
    0.87
     accompl
    0.86
    ishers
    0.84
    ittees
    0.82
    Activations Density 0.005%

    No Known Activations