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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. 20251
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    Explanations

    instances where text is presented in a way that suggests a continuation or development of ideas

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating uncertainty or conditions

    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
    20439
    -0.89
     confir
    -0.82
    pec
    -0.79
     prepar
    -0.78
    ulla
    -0.76
    iscal
    -0.76
    avering
    -0.76
    ouble
    -0.76
     readiness
    -0.74
    ucer
    -0.74
    POSITIVE LOGITS
     Basically
    1.18
     bullshit
    1.16
    Anyway
    1.15
     Anyway
    1.15
     goddamn
    1.08
     Seriously
    1.05
     Yeah
    1.05
     Guess
    1.04
     shitty
    1.04
     Apparently
    1.03
    Activations Density 0.770%

    No Known Activations