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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. 9556
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    INDEX
    Explanations

    adjectives or descriptors representing negative characteristics

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and phrases related to continuity and complexity in various contexts

    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
    anwhile
    -0.79
     Jury
    -0.77
    uckland
    -0.73
     ende
    -0.70
    etsk
    -0.68
    hyde
    -0.66
    ertodd
    -0.66
    aukee
    -0.66
     Shed
    -0.64
    ersen
    -0.64
    POSITIVE LOGITS
    votes
    0.88
     proportions
    0.74
    activity
    0.70
     goodies
    0.66
     contradictions
    0.63
    isations
    0.63
     goodness
    0.62
     pills
    0.62
     exclus
    0.62
     icons
    0.62
    Activations Density 0.465%

    No Known Activations