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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21677
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    Explanations

    numerical sequences without specific patterns

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers or codes, possibly referencing versions or models

    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
     sort
    -0.77
     waiter
    -0.71
     unsupported
    -0.71
     accomp
    -0.71
     given
    -0.70
     whisk
    -0.70
     leaflets
    -0.70
     prescribed
    -0.70
     appealing
    -0.68
     numbered
    -0.67
    POSITIVE LOGITS
    EVA
    1.14
    eva
    1.11
    hex
    1.07
    humans
    1.07
    pac
    1.03
    earth
    1.01
    change
    1.01
    hyde
    0.99
    ever
    0.98
    stuff
    0.95
    Activations Density 0.062%

    No Known Activations