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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. 11373
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    Explanations

    specific quantities or numbers of items

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating quantity or frequency

    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
    Reviewer
    -0.84
    tick
    -0.75
    illet
    -0.74
    rend
    -0.68
    utra
    -0.61
    mite
    -0.60
    age
    -0.59
    amon
    -0.58
    actionDate
    -0.58
    agents
    -0.57
    POSITIVE LOGITS
     others
    1.16
     other
    1.03
     subsequent
    0.94
     accompanying
    0.92
     consequ
    0.91
     importantly
    0.88
     ensuing
    0.81
     additional
    0.80
    other
    0.80
     thereof
    0.73
    Activations Density 0.220%

    No Known Activations