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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. 1-RES-JB
    11. 11560
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    INDEX
    Explanations

    words related to interest or strong curiosity

    oai_token-act-pair · gpt-3.5-turbo

    expressions of interest in various subjects or topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾
    -0.68
    iop
    -0.64
    abby
    -0.63
    yna
    -0.62
     Airl
    -0.62
     Blueprint
    -0.61
    rome
    -0.61
    \\\\\\\\
    -0.61
    mt
    -0.60
    çĦ
    -0.60
    POSITIVE LOGITS
     interest
    1.16
     Interest
    0.98
     trolling
    0.78
    interest
    0.73
     interested
    0.72
     interests
    0.72
    ="#
    0.72
     warr
    0.70
    Interest
    0.69
    terday
    0.69
    Activations Density 0.014%

    No Known Activations