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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. 8-RES-JB
    11. 24258
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    Explanations

    phrases indicating the importance or significance of a specific topic

    oai_token-act-pair · gpt-3.5-turbo

    the word "the" and its significance in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soever
    -0.76
    iband
    -0.74
    thood
    -0.72
    strate
    -0.71
    tackle
    -0.69
    Stage
    -0.68
    boarding
    -0.67
    udo
    -0.67
    asonry
    -0.66
    Fra
    -0.66
    POSITIVE LOGITS
     fact
    1.25
     absence
    1.22
     possibility
    1.17
     importance
    1.16
     latter
    1.13
     seriousness
    1.13
     extent
    1.12
     presence
    1.12
     sheer
    1.10
     aforementioned
    1.09
    Activations Density 0.377%

    No Known Activations