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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. 4-RES-JB
    11. 4493
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    Explanations

    words related to military or strategic terminology

    oai_token-act-pair · gpt-3.5-turbo

    words indicating substandard quality or performance

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

    No Comments

    Negative Logits
    agate
    -0.76
    ingham
    -0.72
    arettes
    -0.72
    atography
    -0.68
    LM
    -0.68
    CAR
    -0.65
    AU
    -0.65
    arbon
    -0.65
    riber
    -0.65
    arten
    -0.64
    POSITIVE LOGITS
     havoc
    0.94
     undermin
    0.89
     ranc
    0.76
    stru
    0.75
    thro
    0.75
     aggress
    0.75
     mischief
    0.74
     arrogant
    0.71
     enterprises
    0.71
     losers
    0.71
    Activations Density 0.205%

    No Known Activations