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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. 20366
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    Explanations

    superlatives expressing a high degree or extreme quality, such as "truly" before an adjective

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emphasis or assertion regarding the truth or authenticity of statements

    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
     conting
    -0.78
     Cheong
    -0.74
    anwhile
    -0.72
     newsletters
    -0.71
     Procedure
    -0.69
     Spice
    -0.67
    isson
    -0.67
    ocene
    -0.67
     Mubarak
    -0.67
    Posts
    -0.66
    POSITIVE LOGITS
    initions
    0.77
     altru
    0.73
     appreciated
    0.71
    olkien
    0.70
    åĬ
    0.68
    functional
    0.68
     deserving
    0.65
     exceptional
    0.64
     qualified
    0.64
     baff
    0.61
    Activations Density 0.019%

    No Known Activations