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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. 12923
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    INDEX
    Explanations

    mentions of weather-related thunderstorms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to storms and supernatural themes

    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
     Intake
    -0.69
     Murray
    -0.66
    GG
    -0.66
     Miko
    -0.64
    nee
    -0.63
     FDR
    -0.63
     Idle
    -0.61
    Reviewer
    -0.60
     Instructor
    -0.59
     proxy
    -0.58
    POSITIVE LOGITS
     thunder
    1.46
     hail
    1.25
     shaken
    1.22
     theology
    1.19
     ashamed
    1.10
     reeling
    1.09
    tier
    1.08
    aunted
    1.00
     sting
    1.00
    blooded
    0.98
    Activations Density 0.039%

    No Known Activations