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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. 9-RES-JB
    11. 23276
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    INDEX
    Explanations

    phrases indicating levels or comparisons of intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a degree of uncertainty or conditions that must be met

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Travels
    -0.58
     Helsinki
    -0.57
    esa
    -0.53
     skyrocket
    -0.52
    gang
    -0.52
     Dial
    -0.52
     exponentially
    -0.51
     acceler
    -0.51
     tripled
    -0.51
     exemplary
    -0.51
    POSITIVE LOGITS
     nor
    1.80
    nor
    1.63
     anymore
    1.44
    yet
    1.27
    unless
    1.23
     slightest
    1.10
     Nor
    1.02
     whatsoever
    1.02
    Nor
    1.00
    etheless
    0.95
    Activations Density 0.550%

    No Known Activations