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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. 7-RES-JB
    11. 18800
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    Explanations

    dates and places

    oai_token-act-pair · gpt-3.5-turbo

    the presence of breaks or new sections in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    deck
    -0.66
    aband
    -0.66
    ivable
    -0.65
    inki
    -0.64
     penalties
    -0.64
     consolation
    -0.64
     weaker
    -0.63
    uters
    -0.63
     commits
    -0.62
    tackle
    -0.62
    POSITIVE LOGITS
    ccording
    0.98
    Early
    0.97
    Background
    0.92
     origins
    0.86
    Spoiler
    0.85
     beginnings
    0.83
    Orig
    0.83
     Origins
    0.80
    ³³³³³³³³³³³³³³³³
    0.80
    Born
    0.79
    Activations Density 0.083%

    No Known Activations