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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. 11-RES-JB
    11. 1327
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    Explanations

    phrases that describe historical context or perceptions of objects, particularly their initial reception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    azo
    -0.75
    jriwal
    -0.74
     modesty
    -0.73
     prepar
    -0.72
    orno
    -0.68
    uana
    -0.68
     eaves
    -0.67
     practition
    -0.67
     immersion
    -0.66
    anty
    -0.66
    POSITIVE LOGITS
     Franch
    0.84
    士
    0.73
     Travels
    0.70
     Crate
    0.69
     Mov
    0.69
     NAME
    0.68
     Shooter
    0.68
     RELE
    0.66
     Nights
    0.66
    dies
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.