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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. 18715
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    Explanations

    file names related to software testing

    oai_token-act-pair · gpt-3.5-turbo

    references to testing procedures and methodologies

    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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    Negative Logits
    theless
    -0.78
    ACP
    -0.76
    taboola
    -0.75
    soType
    -0.70
    leans
    -0.65
     traged
    -0.64
     acknow
    -0.64
    rontal
    -0.64
    vernment
    -0.63
     violet
    -0.63
    POSITIVE LOGITS
    imony
    1.19
    udo
    1.07
    osterone
    1.06
     suite
    0.99
     suites
    0.85
    imon
    0.82
    rador
    0.80
     dummy
    0.79
    dog
    0.75
    su
    0.74
    Activations Density 0.042%

    No Known Activations