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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. 9462
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    Explanations

    negations using the phrase "at least not"

    oai_token-act-pair · gpt-3.5-turbo

    negative qualifiers and conditional phrases

    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
    bath
    -0.66
    inea
    -0.66
    emale
    -0.62
    idan
    -0.61
    ullah
    -0.61
    ubi
    -0.60
    oly
    -0.59
    module
    -0.59
    press
    -0.58
    iband
    -0.57
    POSITIVE LOGITS
     insofar
    0.71
     basics
    0.68
     temporarily
    0.67
     ones
    0.66
     theoretically
    0.66
     indirectly
    0.63
    vous
    0.59
     marginally
    0.57
    sofar
    0.57
     pret
    0.57
    Activations Density 0.088%

    No Known Activations