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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. 4993
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    Explanations

    adjectives describing an attribute or state

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to evaluation and judgment

    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
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    No Comments

    Negative Logits
    ebus
    -0.58
     onwards
    -0.58
    ussen
    -0.57
     js
    -0.57
     heats
    -0.56
     straw
    -0.55
    :]
    -0.55
    lees
    -0.54
     ><
    -0.54
     ported
    -0.54
    POSITIVE LOGITS
    ONSORED
    0.69
    ateral
    0.66
    whatever
    0.64
    uana
    0.64
    ģĸ
    0.62
    Print
    0.60
    olicited
    0.58
    Bar
    0.58
    depending
    0.58
    taboola
    0.57
    Activations Density 0.637%

    No Known Activations