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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. 13210
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    Explanations

    verbs related to beginning or initiating actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the beginning of actions or events

    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
    obi
    -0.75
    illard
    -0.75
    cedented
    -0.72
    itsch
    -0.71
    ighth
    -0.70
    ugs
    -0.69
    iliary
    -0.69
    ordinary
    -0.69
    aths
    -0.67
    ilit
    -0.66
    POSITIVE LOGITS
     anew
    0.97
    starting
    0.80
    nings
    0.79
     raining
    0.71
     behaving
    0.70
     PRESS
    0.69
     airing
    0.68
     bothering
    0.66
    rek
    0.65
    OPLE
    0.65
    Activations Density 0.071%

    No Known Activations