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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. 18928
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    INDEX
    Explanations

    numerical information followed by actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    words that suggest certainty and effectiveness in actions or conditions

    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
    -0.75
    DNA
    -0.66
    adium
    -0.63
    RNA
    -0.61
    gage
    -0.60
    izza
    -0.60
    ãĤ´ãĥ³
    -0.59
    Ret
    -0.58
    chuk
    -0.58
    UV
    -0.58
    POSITIVE LOGITS
     accordingly
    0.95
    etheless
    0.94
     consequently
    0.88
     consequ
    0.86
     importantly
    0.78
     thereafter
    0.75
     thence
    0.74
     therein
    0.72
     moreover
    0.72
     furthermore
    0.71
    Activations Density 0.538%

    No Known Activations