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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. 11-RES-JB
    11. 2014
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    Explanations

    references to various instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    references to collective entities or groups and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sometimes
    -0.74
     often
    -0.68
    entimes
    -0.67
    ahime
    -0.66
    sometimes
    -0.63
     occasionally
    -0.63
    often
    -0.62
    Often
    -0.61
    Sometimes
    -0.61
    asionally
    -0.61
    POSITIVE LOGITS
     except
    1.98
    except
    1.48
     imaginable
    1.04
     irrespective
    0.98
    Except
    0.94
     whatsoever
    0.94
     including
    0.91
     sexes
    0.89
     regardless
    0.89
     alike
    0.89
    Activations Density 0.477%

    No Known Activations