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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. 23242
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    INDEX
    Explanations

    comparisons of varying degrees

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "more" in various contexts

    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
     Thomson
    -0.74
    xtap
    -0.73
    phia
    -0.71
    uca
    -0.68
     Records
    -0.68
    jac
    -0.64
    OX
    -0.63
     Chips
    -0.63
     Record
    -0.62
     Pair
    -0.62
    POSITIVE LOGITS
     adventurous
    1.16
     sophisticated
    1.16
     mundane
    1.12
     esoteric
    1.11
     affluent
    1.11
     distant
    1.09
     nuanced
    1.09
     subtle
    1.08
     drastic
    1.04
     elaborate
    1.03
    Activations Density 0.111%

    No Known Activations