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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. 9-RES-JB
    11. 19559
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    INDEX
    Explanations

    phrases related to agreements or decisions being reached

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" and its frequent contextual use

    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
    ideo
    -0.70
     entrants
    -0.67
     commod
    -0.63
     Converted
    -0.63
    lly
    -0.62
    CRIPTION
    -0.62
     wat
    -0.61
     narrator
    -0.61
    worthy
    -0.61
     somet
    -0.60
    POSITIVE LOGITS
     accordance
    1.11
     advance
    1.10
     vain
    1.08
     conjunction
    1.07
     consultation
    1.06
     unison
    1.04
    effect
    0.96
    humane
    0.96
     haste
    0.93
    effic
    0.93
    Activations Density 0.222%

    No Known Activations