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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. 17432
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    Explanations

    ranges or amounts of quantities or measurements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a range or variation of items, values, or characteristics

    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
    video
    -0.70
    icipated
    -0.69
    NAS
    -0.69
    connection
    -0.67
    ICA
    -0.66
    âĢİ
    -0.66
    itialized
    -0.66
    ense
    -0.65
    conference
    -0.65
    gi
    -0.65
    POSITIVE LOGITS
     afar
    0.94
     mildly
    0.70
     quirky
    0.67
     either
    0.67
     varying
    0.63
     irritating
    0.62
     ages
    0.60
     heights
    0.59
     exqu
    0.59
    esides
    0.58
    Activations Density 0.039%

    No Known Activations