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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. 20253
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    Explanations

    phrases related to tracking or searching for something or someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to tracking or locating subjects

    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
    cius
    -0.75
     propelled
    -0.67
     rightfully
    -0.59
    iston
    -0.58
    ï¸
    -0.58
    xtap
    -0.58
    INO
    -0.56
     primed
    -0.56
    Prev
    -0.56
     Antar
    -0.55
    POSITIVE LOGITS
     è£ıè
    0.77
    stairs
    0.73
    grading
    0.71
    LOAD
    0.70
    Redd
    0.69
    hill
    0.69
     coli
    0.66
    pter
    0.66
     Jagu
    0.64
    river
    0.63
    Activations Density 0.021%

    No Known Activations