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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. 6068
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    Explanations

    comparative relationships

    oai_token-act-pair · gpt-3.5-turbo

    specific quantities or measures related to health and statistics

    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
     respectively
    -0.59
     scenarios
    -0.59
     THEM
    -0.52
     prank
    -0.52
    Untitled
    -0.50
     abducted
    -0.49
     flashbacks
    -0.48
    xual
    -0.48
     bombshell
    -0.47
     storylines
    -0.47
    POSITIVE LOGITS
     Palest
    0.53
    ĸļ
    0.52
     Baird
    0.51
    heid
    0.50
    dar
    0.49
    scl
    0.49
    stal
    0.48
    bearing
    0.48
    utra
    0.47
     Brill
    0.47
    Activations Density 1.387%

    No Known Activations