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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. 6-RES-JB
    11. 447
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    Explanations

    phrases indicating evidence or demonstration

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating evidence or supporting information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rict
    -0.74
     warr
    -0.73
    cens
    -0.70
     salvage
    -0.68
    vernment
    -0.68
    idal
    -0.68
    erate
    -0.66
    ailability
    -0.65
    fur
    -0.64
    elsen
    -0.63
    POSITIVE LOGITS
     Agu
    0.77
    Magikarp
    0.75
     revelations
    0.68
    âĵĺ
    0.63
    APH
    0.61
     comments
    0.61
    BAT
    0.61
     Gomez
    0.60
     Louie
    0.60
     remarks
    0.60
    Activations Density 0.713%

    No Known Activations