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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. 1-RES-JB
    11. 21005
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    Explanations

    phrases related to making a serious effort or trying to achieve something

    oai_token-act-pair · gpt-3.5-turbo

    mentions of efforts or endeavors to achieve something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Origin
    -0.75
     Foot
    -0.73
     Shining
    -0.73
     Britann
    -0.68
     Splash
    -0.67
    minus
    -0.66
    rain
    -0.65
    spl
    -0.64
    front
    -0.63
     Split
    -0.63
    POSITIVE LOGITS
     attempts
    1.19
     attempt
    1.06
    Attempts
    0.95
    uggest
    0.92
     efforts
    0.85
     unsuccessfully
    0.84
     attempted
    0.84
     carbohyd
    0.82
    ettings
    0.81
    querque
    0.79
    Activations Density 0.011%

    No Known Activations