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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. 0-RES-JB
    11. 6624
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    Explanations

    phrases related to instructions or commands

    oai_token-act-pair · gpt-3.5-turbo

    a repeated phrase or call to action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     chim
    -0.68
     marked
    -0.66
     intact
    -0.65
     lab
    -0.65
     duty
    -0.64
     reson
    -0.63
     tent
    -0.63
     adjud
    -0.63
    owicz
    -0.62
     oct
    -0.61
    POSITIVE LOGITS
    Get
    3.74
     Get
    1.90
    GET
    1.87
    get
    1.75
    Newsletter
    1.72
    Keep
    1.60
    Join
    1.54
    Create
    1.46
    Find
    1.43
    Getting
    1.41
    Activations Density 0.019%

    No Known Activations