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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. 9-RES-JB
    11. 3230
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    INDEX
    Explanations

    references to numbers or numerical values

    oai_token-act-pair · gpt-3.5-turbo

    the presence of commas in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rid
    -0.74
    monary
    -0.72
    perture
    -0.69
    miss
    -0.68
    unction
    -0.67
    GMT
    -0.65
    ifice
    -0.64
    ILLE
    -0.64
    aste
    -0.62
    VERTISEMENT
    -0.62
    POSITIVE LOGITS
     whom
    1.52
    who
    1.44
     who
    1.36
     including
    1.15
     interns
    1.02
     retirees
    1.02
    whose
    1.00
     spouses
    1.00
     whose
    0.98
     includ
    0.97
    Activations Density 0.328%

    No Known Activations