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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. 2371
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    Explanations

    phrases related to actions or events being performed on something

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating actions related to societal issues or systemic failures

    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
     Founding
    -0.69
    assies
    -0.62
     descended
    -0.60
    ierre
    -0.59
     Falling
    -0.58
     CLS
    -0.58
     Anders
    -0.56
     Shining
    -0.55
    otaur
    -0.55
     reunited
    -0.55
    POSITIVE LOGITS
     by
    0.95
     elsewhere
    0.81
    ynamic
    0.79
    .</
    0.75
    igated
    0.75
     prominently
    0.75
     unintention
    0.74
     through
    0.74
     inconsist
    0.73
    .–
    0.73
    Activations Density 0.335%

    No Known Activations