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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. 3-RES-JB
    11. 9260
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    Explanations

    words or phrases related to general attitudes or perspectives

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "outlook," often in relation to predictions or evaluations of various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.84
    Interstitial
    -0.76
    adding
    -0.73
    ced
    -0.71
    cing
    -0.70
    idden
    -0.66
    ãĥ«
    -0.66
     Explos
    -0.65
    avis
    -0.64
    Ice
    -0.64
    POSITIVE LOGITS
     outlook
    1.40
     horizon
    0.93
    eus
    0.93
     Outlook
    0.79
    eering
    0.75
     trajectory
    0.74
    s
    0.73
    eous
    0.73
     prospects
    0.73
    igible
    0.73
    Activations Density 0.014%

    No Known Activations