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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. 21589
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    Explanations

    phrases related to high expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expectations and their implications

    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
    fighting
    -0.76
    mans
    -0.71
    packing
    -0.70
    ston
    -0.68
    cise
    -0.68
    pmwiki
    -0.68
    Medic
    -0.67
    de
    -0.66
    info
    -0.66
    Tips
    -0.66
    POSITIVE LOGITS
     expectations
    1.44
     expectation
    1.08
    hovah
    0.78
     perceptions
    0.78
     thresholds
    0.76
    yip
    0.75
     standards
    0.75
     adolesc
    0.74
    urity
    0.74
     rul
    0.73
    Activations Density 0.010%

    No Known Activations