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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. 7-RES-JB
    11. 7980
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    Explanations

    specific mentions of the word "including" followed by a list of entities or entities being included

    oai_token-act-pair · gpt-3.5-turbo

    the word "including" and instances of lists or examples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iny
    -0.83
    ochond
    -0.79
    iri
    -0.77
    ould
    -0.77
    olate
    -0.76
    estial
    -0.76
    iliate
    -0.74
    ael
    -0.74
    iet
    -0.73
    ules
    -0.72
    POSITIVE LOGITS
     those
    0.79
     yours
    0.73
     ours
    0.69
     ones
    0.68
    worth
    0.64
     Blaster
    0.63
     possibly
    0.62
     Daredevil
    0.60
     Dex
    0.60
    ãĥĸ
    0.59
    Activations Density 0.078%

    No Known Activations