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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. 6-RES-JB
    11. 7623
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    Explanations

    positive descriptions or praise related to personal experiences or interactions

    oai_token-act-pair · gpt-3.5-turbo

    positive descriptors and expressions of gratitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.84
    odox
    -0.78
    utterstock
    -0.76
    ensibly
    -0.74
    apons
    -0.70
    flush
    -0.68
    arest
    -0.68
    utonium
    -0.67
     plaus
    -0.66
     guiActiveUn
    -0.66
    POSITIVE LOGITS
    !"
    0.82
    ."
    0.80
    âĢ¦"
    0.77
    !'"
    0.76
     âĢ¦"
    0.76
     compliment
    0.73
    .""
    0.72
    ..."
    0.72
     conversation
    0.71
     teamwork
    0.71
    Activations Density 0.360%

    No Known Activations