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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. 4-RES-JB
    11. 830
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    Explanations

    mentions of groups of people in a formal context

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" used to connect various subjects or ideas

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

    No Comments

    Negative Logits
    GMT
    -0.72
    :(
    -0.71
    Contents
    -0.68
    igmatic
    -0.62
    BIL
    -0.62
    xt
    -0.62
    ishi
    -0.62
    perture
    -0.61
    lit
    -0.61
     sunset
    -0.61
    POSITIVE LOGITS
     assorted
    0.80
     vice
    0.78
     consequently
    0.76
     other
    0.75
     livelihood
    0.74
     others
    0.74
    doms
    0.71
     secondly
    0.71
     lifestyles
    0.70
     allied
    0.68
    Activations Density 0.486%

    No Known Activations