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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. 6992
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    Explanations

    the word "Good" preceded by an adjective or proper noun

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Good" 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
    EStream
    -0.70
    ULAR
    -0.69
    ptin
    -0.67
    isive
    -0.65
    ulous
    -0.64
    CHAT
    -0.64
     pent
    -0.64
    apse
    -0.63
    ãĢij
    -0.61
    opers
    -0.61
    POSITIVE LOGITS
    reads
    1.30
    enough
    1.28
    bye
    1.19
     Samar
    1.14
    luck
    1.13
     luck
    1.02
    night
    1.00
    will
    1.00
     Enough
    0.98
    spr
    0.96
    Activations Density 0.033%

    No Known Activations