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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. 4-RES-JB
    11. 2706
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    Explanations

    phrases related to quantity or size

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "vast" and its usage in various contexts

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

    No Comments

    Negative Logits
    iffe
    -0.71
    ople
    -0.69
    headers
    -0.68
    Dialogue
    -0.67
     clicked
    -0.65
    verbs
    -0.64
    WAR
    -0.63
    mint
    -0.62
    apple
    -0.62
    ienced
    -0.62
    POSITIVE LOGITS
     majority
    0.99
     amounts
    0.99
     quantities
    0.89
     swat
    0.89
     expans
    0.87
    itud
    0.86
     swath
    0.85
     gulf
    0.81
    est
    0.80
    ness
    0.77
    Activations Density 0.014%

    No Known Activations