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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. 7865
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    Explanations

    phrases indicating reasoning or explanation, specifically using the word "given"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "given" used to indicate a cause or premise

    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
    acc
    -0.72
    CHA
    -0.72
    CR
    -0.72
    ati
    -0.72
    ereo
    -0.71
    Ye
    -0.71
    cel
    -0.69
    Ku
    -0.68
    quin
    -0.68
    Explore
    -0.68
    POSITIVE LOGITS
    pend
    0.79
     McF
    0.73
     sparing
    0.71
     precedence
    0.70
    aways
    0.70
    giving
    0.69
    away
    0.68
    */(
    0.68
     speeches
    0.68
     cred
    0.68
    Activations Density 0.024%

    No Known Activations