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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. 20133
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    INDEX
    Explanations

    sentences containing multiple references to actions and their consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to official documents or statements in reports

    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
    Offline
    -0.76
     alike
    -0.73
     dying
    -0.67
     mastering
    -0.66
    âĻ¥
    -0.66
     mastered
    -0.65
    tis
    -0.65
     ascending
    -0.63
     liking
    -0.63
     invincible
    -0.63
    POSITIVE LOGITS
     outlines
    1.18
     includes
    1.11
     outline
    1.08
     contains
    1.07
     detailing
    1.06
     indicate
    1.06
     depicts
    1.05
     include
    1.04
     outlining
    1.02
     omit
    1.02
    Activations Density 0.248%

    No Known Activations