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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. 10-RES-JB
    11. 10459
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    Explanations

    phrases related to the concept of putting something in a specific position or condition

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the effect of actions or decisions on various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocaly
    -0.70
    ificent
    -0.70
    estones
    -0.67
    è¦ļéĨĴ
    -0.67
    uary
    -0.66
    aler
    -0.62
    cade
    -0.61
    xtap
    -0.61
    animous
    -0.60
    leeve
    -0.59
    POSITIVE LOGITS
     pressure
    1.17
     undue
    1.16
     strain
    1.11
     downward
    1.00
     emphasis
    0.98
     brakes
    0.95
     strains
    0.92
     constraints
    0.91
     forth
    0.87
     pressures
    0.87
    Activations Density 0.054%

    No Known Activations