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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3009
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    Explanations

    expressions of gratitude and thanks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    place
    -0.80
    dq
    -0.70
    wide
    -0.68
     indo
    -0.68
     Osc
    -0.63
     Construct
    -0.61
    conserv
    -0.60
    abad
    -0.60
    scan
    -0.58
    FO
    -0.58
    POSITIVE LOGITS
    giving
    1.00
    fulness
    0.91
     thank
    0.84
    ESCO
    0.77
     acknowled
    0.76
    imaru
    0.75
    gements
    0.75
     thanking
    0.75
    fully
    0.74
    FUL
    0.71
    Activations Density 0.018%

    No Known Activations