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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. 17524
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    Explanations

    phrases indicating high likelihood or certainty about a statement or situation

    oai_token-act-pair · gpt-3.5-turbo

    terms expressing a degree of approximation or uncertainty

    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
    nesota
    -0.79
     GOODMAN
    -0.75
     DRAG
    -0.74
    enges
    -0.72
    APS
    -0.71
     Springs
    -0.70
    ortmund
    -0.69
     Cosponsors
    -0.69
    oris
    -0.68
    ults
    -0.68
    POSITIVE LOGITS
     indistinguishable
    1.16
     impossible
    1.10
     extinct
    1.08
     identical
    1.06
     synonymous
    0.97
     nonexistent
    0.93
     universally
    0.91
     ubiquitous
    0.91
     useless
    0.89
     unus
    0.89
    Activations Density 0.099%

    No Known Activations