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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. 4-RES-JB
    11. 987
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    Explanations

    places or objects where things are kept or can be found

    oai_token-act-pair · gpt-3.5-turbo

    the concept of being contained or accommodated, often in relation to buildings or facilities

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

    No Comments

    Negative Logits
    uyomi
    -0.76
     Carney
    -0.67
    Parameters
    -0.64
     mileage
    -0.63
     implication
    -0.62
    vious
    -0.59
    alias
    -0.59
    urred
    -0.58
    queue
    -0.58
    reme
    -0.58
    POSITIVE LOGITS
    maid
    0.82
    creen
    0.77
    Īè
    0.77
    owship
    0.75
    warming
    0.75
     rapt
    0.74
    chool
    0.73
     housed
    0.72
    housing
    0.72
    ãĥķãĤ¡
    0.72
    Activations Density 0.020%

    No Known Activations