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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. 6-RES-JB
    11. 13462
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    INDEX
    Explanations

    personal effort or attempted actions and their outcomes

    oai_token-act-pair · gpt-3.5-turbo

    expressions of effort and determination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.72
     Chow
    -0.68
    Bey
    -0.62
    Kings
    -0.62
    DragonMagazine
    -0.61
    minus
    -0.61
     Loch
    -0.60
     Splash
    -0.60
     Warn
    -0.59
     Roose
    -0.59
    POSITIVE LOGITS
     shaping
    0.80
    alion
    0.78
     endeav
    0.78
     erad
    0.76
     resolving
    0.74
    ãĤ¿
    0.72
     sorting
    0.72
     shielding
    0.71
     compiling
    0.70
    ework
    0.70
    Activations Density 0.374%

    No Known Activations