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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. 763
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    Explanations

    references to the word "Pet"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Pet" and related branding or products

    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
    xual
    -0.92
    éĹĺ
    -0.86
    IDER
    -0.75
    hower
    -0.72
     PUBLIC
    -0.72
     Reson
    -0.71
    hirt
    -0.70
    sers
    -0.66
     seeded
    -0.65
    κ
    -0.64
    POSITIVE LOGITS
    ertodd
    1.36
    pet
    1.03
    rov
    0.96
    abyte
    0.95
    itions
    0.94
    roleum
    0.93
    terson
    0.93
    unia
    0.93
    lyak
    0.92
    rol
    0.89
    Activations Density 0.007%

    No Known Activations