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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14955
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    Explanations

    occurrences of the word "was" in sentences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "was" indicating past events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    entric
    -0.76
    ledge
    -0.67
    lev
    -0.66
    arta
    -0.64
    forward
    -0.63
    ledged
    -0.63
    objects
    -0.62
    aucus
    -0.61
     chromosomes
    -0.61
    Make
    -0.61
    POSITIVE LOGITS
    hes
    0.96
    wolves
    0.93
    wolf
    0.91
     originally
    0.89
     instrumental
    0.82
    hers
    0.74
     cruc
    0.73
     able
    0.73
     born
    0.72
     formerly
    0.71
    Activations Density 0.223%

    No Known Activations