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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. 11955
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    INDEX
    Explanations

    instances of words related to someone's intentions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express intentions or motives

    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
    rooms
    -0.80
    thumbnails
    -0.78
    Interstitial
    -0.66
    room
    -0.65
    yss
    -0.62
    Tier
    -0.62
    Lay
    -0.62
     Sweeney
    -0.62
    pmwiki
    -0.62
    Rail
    -0.61
    POSITIVE LOGITS
     intentions
    0.87
    pring
    0.84
    omething
    0.83
    cape
    0.80
     transgress
    0.75
    afety
    0.75
     behind
    0.73
     motivations
    0.71
    peria
    0.71
    erver
    0.69
    Activations Density 0.026%

    No Known Activations