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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. 6-RES-JB
    11. 7097
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    Explanations

    phrases related to instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    key phrases associated with important decisions or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obos
    -0.62
    Albert
    -0.54
     Coco
    -0.53
    356
    -0.52
     Tol
    -0.52
     Airl
    -0.50
    381
    -0.50
    Merc
    -0.50
    Pack
    -0.50
    Sold
    -0.50
    POSITIVE LOGITS
    ãĤ´ãĥ³
    0.84
     UNCLASSIFIED
    0.65
    dayName
    0.63
     hijab
    0.62
    ĵĺ
    0.60
     Ichigo
    0.58
    ricular
    0.58
     Imran
    0.58
    amation
    0.57
     Khan
    0.57
    Activations Density 1.305%

    No Known Activations