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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. 0-RES-JB
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    Explanations

    references to the number "9"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 9

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    èª
    -0.71
    NetMessage
    -0.69
    ä»
    -0.64
    alties
    -0.63
    ographies
    -0.63
    arta
    -0.62
    verb
    -0.62
    ersion
    -0.62
    chuk
    -0.60
     Canaver
    -0.59
    POSITIVE LOGITS
     9
    2.92
     8
    2.07
     7
    1.98
     6
    1.80
     920
    1.78
     11
    1.78
     10
    1.67
     970
    1.67
     13
    1.64
     09
    1.64
    Activations Density 0.022%

    No Known Activations