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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. 3-RES-JB
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    Explanations

    the name "Bartlett"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Bart."

    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
    WARD
    -0.70
    VEN
    -0.61
    FORMATION
    -0.61
    lled
    -0.60
    ULT
    -0.59
    FUL
    -0.59
    ITED
    -0.59
    istors
    -0.59
     CFR
    -0.58
    âĢ³
    -0.58
    POSITIVE LOGITS
    rys
    1.03
    ric
    1.03
    lett
    1.03
    oken
    1.00
    esian
    0.94
    olini
    0.94
    ram
    0.92
    ©¶æ¥µ
    0.90
    rip
    0.87
    arus
    0.87
    Activations Density 0.011%

    No Known Activations