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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. 9-RES-JB
    11. 5377
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    Explanations

    words related to providing support or assistance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "supp" and related variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Blazers
    -0.72
    ãĥīãĥ©ãĤ´ãĥ³
    -0.70
     burg
    -0.67
     malice
    -0.63
     [|
    -0.62
     Warsaw
    -0.61
     stink
    -0.61
     flaws
    -0.61
     betrayal
    -0.61
     intimidating
    -0.59
    POSITIVE LOGITS
    ression
    1.43
    orter
    1.40
    orters
    1.36
    ressed
    1.33
    ressive
    1.32
    lication
    1.31
    lements
    1.30
    ressing
    1.29
    osed
    1.29
    ressor
    1.27
    Activations Density 0.020%

    No Known Activations