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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
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    Explanations

    the word 'some'

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of "some" in various contexts

    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
    sburgh
    -0.68
    gon
    -0.67
    ettes
    -0.67
     Cycling
    -0.64
    enance
    -0.64
    mers
    -0.63
     Rouse
    -0.63
    tainment
    -0.62
    gang
    -0.62
    istan
    -0.61
    POSITIVE LOGITS
    place
    1.27
    ones
    1.17
    body
    1.16
    how
    0.98
     sort
    0.97
     semblance
    0.96
     unspecified
    0.89
    ONE
    0.85
     obscure
    0.82
     kind
    0.80
    Activations Density 0.101%

    No Known Activations