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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. 16480
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    Explanations

    phrases related to specific locations or venues, especially places of worship

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "in" within sentences

    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
    TPP
    -0.84
    oeuv
    -0.79
    Animation
    -0.77
    NOW
    -0.75
    strings
    -0.70
    /(
    -0.70
    henko
    -0.70
     cures
    -0.68
    rained
    -0.67
     notwithstanding
    -0.66
    POSITIVE LOGITS
     downtown
    1.26
     suburban
    1.23
     southeastern
    1.16
     southwest
    1.14
     Omaha
    1.14
     southwestern
    1.14
     northwest
    1.13
     rural
    1.12
     southeast
    1.10
     northeast
    1.06
    Activations Density 0.178%

    No Known Activations