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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. 2-RES-JB
    11. 23797
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    Explanations

    keywords or phrases related to a wide variety or range of items

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases emphasizing diversity and breadth

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LV
    -0.73
    CB
    -0.72
    aminer
    -0.67
    ilater
    -0.65
    Lv
    -0.64
    ICAN
    -0.63
    cair
    -0.62
    åĤ
    -0.62
    act
    -0.61
    IENCE
    -0.61
    POSITIVE LOGITS
    leaf
    1.03
     wide
    0.98
    sheets
    0.92
     wider
    0.82
     scope
    0.80
     variety
    0.80
     widened
    0.77
     eyed
    0.77
     breadth
    0.76
    creen
    0.76
    Activations Density 0.010%

    No Known Activations