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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. 2-RES-JB
    11. 21766
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    Explanations

    situations where something is not completely fitting or aligning

    oai_token-act-pair · gpt-3.5-turbo

    the word "quite" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venant
    -0.87
    EStream
    -0.77
    ultimate
    -0.77
    ULTS
    -0.75
    adium
    -0.74
    ults
    -0.72
    PLIED
    -0.71
    ulators
    -0.69
    igraph
    -0.67
     DRAG
    -0.67
    POSITIVE LOGITS
     spoil
    0.73
     muddy
    0.69
     frankly
    0.69
     readable
    0.68
    entimes
    0.67
     spo
    0.67
     scarce
    0.66
     tast
    0.65
     unpleasant
    0.64
     nice
    0.61
    Activations Density 0.014%

    No Known Activations