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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. 9-RES-JB
    11. 19776
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    INDEX
    Explanations

    specific time references, such as hours or dates

    oai_token-act-pair · gpt-3.5-turbo

    time indicators or phrases related to scheduling events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.75
    spread
    -0.71
    soType
    -0.70
    sers
    -0.70
    abled
    -0.68
    tions
    -0.66
    phies
    -0.64
     reconc
    -0.63
    namese
    -0.63
     risked
    -0.63
    POSITIVE LOGITS
     earnest
    1.18
     dusk
    0.83
     dawn
    0.80
     scratch
    0.76
     sunrise
    0.74
     kindergarten
    0.73
     takeoff
    0.71
    here
    0.69
     noon
    0.69
     conception
    0.64
    Activations Density 0.175%

    No Known Activations