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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. 0-RES-JB
    11. 2541
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    Explanations

    words related to traits like strength, intensity, and persistence

    oai_token-act-pair · gpt-3.5-turbo

    adjectives related to various qualities or states

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GO
    -0.74
     ESC
    -0.70
     Columbia
    -0.68
     LS
    -0.68
     ABS
    -0.63
     MD
    -0.63
     SE
    -0.62
     Hitman
    -0.58
     Ins
    -0.57
     MTA
    -0.56
    POSITIVE LOGITS
    uous
    4.64
    uously
    3.70
    uity
    2.04
    ually
    1.45
    urous
    1.43
    acious
    1.41
    ual
    1.39
    ueless
    1.37
    uality
    1.35
    uitous
    1.32
    Activations Density 0.013%

    No Known Activations