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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. 8-RES-JB
    11. 14868
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    unique character or name identifiers, particularly in a specific cultural context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Beir
    -0.66
     killer
    -0.65
    icult
    -0.65
    IGHT
    -0.62
    ascular
    -0.60
    ESS
    -0.60
     msec
    -0.60
    arella
    -0.59
    itionally
    -0.59
     draw
    -0.57
    POSITIVE LOGITS
    nen
    1.16
    ¬
    1.01
    nin
    1.01
    ng
    1.00
    tis
    0.99
    ··
    0.94
    su
    0.94
    ns
    0.94
    shi
    0.93
    Åį
    0.92
    Activations Density 0.029%

    No Known Activations