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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
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    Explanations

    phrases related to achieving success

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "success" 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
    cloth
    -0.73
    arate
    -0.65
    arl
    -0.64
    eps
    -0.63
    alia
    -0.63
    arest
    -0.63
    uba
    -0.63
     Related
    -0.62
    JP
    -0.62
    tyard
    -0.62
    POSITIVE LOGITS
     success
    3.80
    success
    2.76
     successes
    2.71
     Success
    2.18
    Success
    2.11
     successful
    2.08
     succeed
    1.91
    successful
    1.91
     failure
    1.70
     triumph
    1.57
    Activations Density 0.012%

    No Known Activations