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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. 2952
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    Explanations

    mentions of media episodes or issues

    oai_token-act-pair · gpt-3.5-turbo

    references to episodes of various shows or publications

    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
    cffffcc
    -0.78
    aun
    -0.72
    istas
    -0.68
     prosec
    -0.67
     relate
    -0.67
     edges
    -0.66
    anches
    -0.66
    jri
    -0.66
     effic
    -0.65
    acca
    -0.65
    POSITIVE LOGITS
     Weekly
    0.89
     Splash
    0.87
     Destination
    0.82
     Eater
    0.81
     Fired
    0.79
     Forbes
    0.79
     Ranked
    0.79
     Monthly
    0.77
     Vanity
    0.76
     Breaking
    0.75
    Activations Density 0.105%

    No Known Activations