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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. 2193
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    INDEX
    Explanations

    phrases related to matchups or competitive events

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive pairings or contests

    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
     Unknown
    -0.68
    weather
    -0.68
     Slime
    -0.66
    cius
    -0.65
     Shine
    -0.64
    knit
    -0.63
     Builder
    -0.63
     Fact
    -0.62
    flag
    -0.60
    apo
    -0.60
    POSITIVE LOGITS
    ointed
    0.88
     adjunct
    0.72
    epend
    0.70
    oint
    0.69
     horizont
    0.68
     monks
    0.67
     regress
    0.66
     prescriptions
    0.66
    rogens
    0.65
    regular
    0.64
    Activations Density 0.000%

    No Known Activations