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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 14879
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    Explanations

    strings with the word "it" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "it."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     schooling
    -0.71
    hips
    -0.69
     destro
    -0.68
    «ĺ
    -0.66
     dise
    -0.63
     prevail
    -0.63
    ¥ŀ
    -0.62
     prevailed
    -0.60
     parting
    -0.60
     therap
    -0.59
    POSITIVE LOGITS
    anium
    1.06
    amins
    1.01
    herer
    1.01
    unes
    0.98
    self
    0.97
    chell
    0.94
    ople
    0.92
    rogen
    0.92
    atis
    0.91
    hers
    0.90
    Activations Density 0.034%

    No Known Activations