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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. 20746
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    Explanations

    references to taking concrete actions or steps

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Lego, money, and related concepts

    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
    ndra
    -0.90
    ntil
    -0.89
    ailability
    -0.83
    ambo
    -0.77
    ategories
    -0.73
    -+-+
    -0.72
    etheless
    -0.70
    athy
    -0.68
    vertisement
    -0.66
    tions
    -0.65
    POSITIVE LOGITS
     seriously
    0.96
     aback
    0.92
     away
    0.85
     plunge
    0.85
     reins
    0.83
     lightly
    0.82
     liberties
    0.81
     Seriously
    0.81
     virginity
    0.80
     cues
    0.80
    Activations Density 0.234%

    No Known Activations