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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. 6-RES-JB
    11. 8454
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    Explanations

    verbs related to actions or events occurring

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating inaction or failure to do something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.84
    Dialogue
    -0.76
    ilus
    -0.73
    tnc
    -0.71
    pmwiki
    -0.68
    ammu
    -0.66
    undrum
    -0.66
    iaz
    -0.65
    hub
    -0.65
    nis
    -0.64
    POSITIVE LOGITS
     enough
    0.84
     sufficiently
    0.81
     adequately
    0.81
     slightest
    0.78
     sufficient
    0.72
     anymore
    0.71
     nor
    0.70
     adequate
    0.69
     quite
    0.69
     beforehand
    0.68
    Activations Density 0.264%

    No Known Activations