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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. 8-RES-JB
    11. 24190
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    Explanations

    conditional statements expressing hypothetical situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "should" and related conditional statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    女
    -0.77
    ãĥĦ
    -0.71
    Poké
    -0.71
    ãģ§
    -0.69
    76561
    -0.68
    Synopsis
    -0.67
    ãģ«
    -0.66
    ãĤ¨ãĥ«
    -0.66
    step
    -0.66
    arching
    -0.65
    POSITIVE LOGITS
     unsuccessful
    0.80
     circumstances
    0.77
     unspecified
    0.75
     insufficient
    0.74
     they
    0.72
     unforeseen
    0.71
     appropriate
    0.69
     landlords
    0.68
     extrad
    0.66
     adequate
    0.66
    Activations Density 0.066%

    No Known Activations