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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    references to the city of Tel Aviv in documents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific term, which appears to be "Tel 2."

    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
     subp
    -0.63
    mble
    -0.62
     saline
    -0.59
    rict
    -0.58
    æĸ¹
    -0.58
     gradual
    -0.57
     paddle
    -0.57
    EEE
    -0.57
     judging
    -0.56
     semester
    -0.56
    POSITIVE LOGITS
     Aviv
    1.36
    estial
    1.11
    stra
    1.07
    ugu
    1.03
    anyahu
    0.96
    eno
    0.95
    angelo
    0.90
    lez
    0.90
    cos
    0.90
    ford
    0.84
    Activations Density 0.025%

    No Known Activations