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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. 0-RES-JB
    11. 6743
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    Explanations

    mentions of successfully navigating obstacles or achieving goals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "pass" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amaz
    -0.72
    hur
    -0.70
     Investors
    -0.67
    quartered
    -0.66
    HQ
    -0.65
    bots
    -0.65
     Syndrome
    -0.63
    imus
    -0.62
    odynam
    -0.61
    uzz
    -0.61
    POSITIVE LOGITS
     pass
    3.75
     passes
    2.70
     Pass
    2.32
    pass
    2.28
     passing
    2.11
    Pass
    2.10
     PASS
    1.98
     passed
    1.97
     Passing
    1.84
    PASS
    1.70
    Activations Density 0.015%

    No Known Activations