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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. 4-RES-JB
    11. 4484
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    INDEX
    Explanations

    verbs followed by "to" and another verb, often related to expectations or predictions

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing expectations or predictions

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

    No Comments

    Negative Logits
    quickShipAvailable
    -0.73
     Sure
    -0.68
    Reviewer
    -0.62
    checking
    -0.59
    ELD
    -0.59
     Tracks
    -0.59
    Reader
    -0.59
    river
    -0.59
    fortunately
    -0.59
    Loop
    -0.58
    POSITIVE LOGITS
     be
    1.14
     perform
    0.97
     shake
    0.96
     give
    0.94
     bring
    0.94
     incorporate
    0.93
     proceed
    0.92
     retire
    0.91
     improve
    0.91
     reap
    0.91
    Activations Density 0.086%

    No Known Activations