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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. 4-RES-JB
    6. 12889
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    Explanations

    words related to the abbreviation "Wo" followed by a numeric value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word 'wo' and its variations

    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
    Magikarp
    -0.87
    ividual
    -0.72
    IUM
    -0.71
     mileage
    -0.70
     Uriel
    -0.70
    ++++++++++++++++
    -0.68
    IONS
    -0.67
    âĸ¬
    -0.67
    REDACTED
    -0.65
    idates
    -0.64
    POSITIVE LOGITS
    efully
    1.14
    ollen
    1.11
    ocom
    1.09
    eful
    1.07
    ofer
    1.04
    olly
    1.01
    ogie
    0.95
    asted
    0.93
    jo
    0.93
    wo
    0.92
    Activations Density 0.005%

    No Known Activations