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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. 916
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    INDEX
    Explanations

    descriptions of various emotional and sensory experiences

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas, emphasizing pauses or separations within text

    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
    emaker
    -0.68
    untarily
    -0.68
    onet
    -0.67
    OND
    -0.64
    owe
    -0.62
    UF
    -0.61
    §
    -0.61
    ety
    -0.60
    enary
    -0.60
    obook
    -0.59
    POSITIVE LOGITS
     albeit
    1.20
     namely
    1.07
     including
    0.95
     though
    0.92
     wherein
    0.92
     whereas
    0.89
     lest
    0.89
     although
    0.88
     culminating
    0.87
     however
    0.86
    Activations Density 0.874%

    No Known Activations