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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. 2419
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    Explanations

    references to wooden beams or structural beams

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with unusual or exceptional characteristics, especially in the context of media or entertainment

    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
    mented
    -0.94
    iage
    -0.82
    fman
    -0.81
    aldi
    -0.78
    sis
    -0.77
    seless
    -0.74
    mentation
    -0.72
    DIT
    -0.72
    hip
    -0.71
    ged
    -0.71
    POSITIVE LOGITS
    ï¸
    0.77
    âķIJâķIJ
    0.66
    Draft
    0.64
    Discuss
    0.63
    ARP
    0.60
    terday
    0.60
     ray
    0.59
    Reloaded
    0.58
    ellen
    0.58
     trout
    0.58
    Activations Density 0.181%

    No Known Activations