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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. 9486
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    Explanations

    years mentioned in documents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the year 2013 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
    flo
    -0.82
    itionally
    -0.67
    ierrez
    -0.61
    Commerce
    -0.61
    locked
    -0.61
    gone
    -0.59
    ishing
    -0.59
     responsive
    -0.58
     contagious
    -0.58
     fam
    -0.58
    POSITIVE LOGITS
    rd
    0.99
     onwards
    0.81
    å¹
    0.78
    etheus
    0.73
    -'
    0.73
    bard
    0.70
    RD
    0.68
     onward
    0.68
    uner
    0.68
    acly
    0.67
    Activations Density 0.028%

    No Known Activations