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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. 9-RES-JB
    11. 23618
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    INDEX
    Explanations

    words related to vagueness and ambiguity

    oai_token-act-pair · gpt-3.5-turbo

    references to ambiguity or lack of clarity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cross
    -0.81
    din
    -0.76
    HOME
    -0.75
    die
    -0.71
    gression
    -0.71
    nea
    -0.71
    cross
    -0.71
    Drive
    -0.69
    Tube
    -0.69
    Root
    -0.67
    POSITIVE LOGITS
     notions
    1.01
     descriptions
    1.00
     recollection
    0.98
     outline
    0.93
     outlines
    0.91
     notion
    0.90
     glimps
    0.86
     recol
    0.83
     vaguely
    0.81
     hints
    0.81
    Activations Density 0.156%

    No Known Activations