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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. 0-RES-JB
    11. 20534
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    INDEX
    Explanations

    anticipation or preparing for future events

    oai_token-act-pair · gpt-3.5-turbo

    expressions of expectation or anticipation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anski
    -0.74
     disabled
    -0.74
    raf
    -0.70
    owan
    -0.66
    odan
    -0.66
    opath
    -0.65
    brand
    -0.64
    rael
    -0.63
    ru
    -0.63
    ogg
    -0.62
    POSITIVE LOGITS
     anticipation
    3.88
     anticipating
    2.03
     anticip
    1.96
     expectation
    1.85
     anticipate
    1.68
    icip
    1.67
     suspense
    1.48
     apprehension
    1.38
     preparation
    1.22
     excitement
    1.21
    Activations Density 0.023%

    No Known Activations