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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. 7-RES-JB
    11. 19184
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    Explanations

    comparative language and levels of significance in a sequence of events or ideas

    oai_token-act-pair · gpt-3.5-turbo

    phrases conveying comparisons or evaluations of significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anners
    -0.69
    renheit
    -0.67
     whoever
    -0.66
     Encyclopedia
    -0.66
     Beetle
    -0.61
     Cells
    -0.61
    bern
    -0.61
    onomic
    -0.60
    ouls
    -0.60
     Venus
    -0.60
    POSITIVE LOGITS
     noteworthy
    0.87
    orthy
    0.84
    noticed
    0.84
     factor
    0.84
     aspect
    0.81
     bombshell
    0.80
    factor
    0.80
    ipal
    0.78
     facet
    0.77
     notable
    0.76
    Activations Density 0.308%

    No Known Activations