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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. 7-RES-JB
    11. 14436
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    Explanations

    adjectives or nouns related to personal or special qualities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to personal attributes and commitments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cer
    -0.68
    Args
    -0.62
    odor
    -0.61
    bilt
    -0.61
    orks
    -0.60
    asus
    -0.60
    RY
    -0.59
    rie
    -0.59
    ctors
    -0.58
    osi
    -0.58
    POSITIVE LOGITS
    cape
    1.25
    mith
    1.17
    heet
    1.11
    cale
    1.08
    peed
    1.03
    hip
    1.01
    paces
    1.00
    pring
    0.99
    uggest
    0.99
    pace
    0.95
    Activations Density 0.293%

    No Known Activations