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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. 3254
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences acknowledging complexity or nuance in various subjects

    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
    SPONSORED
    -1.01
     promptly
    -0.73
    ascus
    -0.70
    kee
    -0.68
    gered
    -0.68
     invitation
    -0.67
    kefeller
    -0.67
    osponsors
    -0.65
     repe
    -0.64
     pione
    -0.64
    POSITIVE LOGITS
     Sometimes
    1.49
     Different
    1.31
     Some
    1.29
     Depending
    1.28
     Generally
    1.20
     Firstly
    1.18
     Especially
    1.16
     Often
    1.16
     Factors
    1.14
     Usually
    1.14
    Activations Density 0.432%

    No Known Activations