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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. 3-RES-JB
    11. 16529
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    INDEX
    Explanations

    verbs related to reaching a conclusion or making a decision

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conclusions or final decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    href
    -0.76
    drivers
    -0.74
    otin
    -0.67
    eni
    -0.67
    inx
    -0.66
    Lu
    -0.65
    dos
    -0.65
    lat
    -0.65
    enta
    -0.64
    arta
    -0.63
    POSITIVE LOGITS
     concluding
    0.86
     concludes
    0.80
     conclude
    0.77
     conclusion
    0.76
     FANTASY
    0.72
    reement
    0.71
    itute
    0.69
    urances
    0.69
     concluded
    0.68
    ãĤ¤ãĥĪ
    0.67
    Activations Density 0.012%

    No Known Activations