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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. 4-RES-JB
    11. 6189
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    Explanations

    titles, such as TV shows, movies, and books

    oai_token-act-pair · gpt-3.5-turbo

    references to the current day and temporal expressions

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

    No Comments

    Negative Logits
    hement
    -0.79
     expulsion
    -0.68
    rieved
    -0.66
    imposed
    -0.66
     suppressed
    -0.65
     flare
    -0.64
     distress
    -0.63
     additive
    -0.63
     quo
    -0.63
     defamation
    -0.63
    POSITIVE LOGITS
     Own
    1.00
    Else
    0.87
     Happ
    0.82
     Needs
    0.79
     Dying
    0.78
     Amazing
    0.76
     Walls
    0.75
     Week
    0.75
     Unknown
    0.75
     Himself
    0.75
    Activations Density 0.282%

    No Known Activations