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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. 20032
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    Explanations

    phrases starting with "As"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "As" followed by contextually relevant statements or reflections

    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
     Regions
    -0.64
    oses
    -0.62
    oller
    -0.61
     Examination
    -0.59
    apons
    -0.59
    osc
    -0.58
    èĪ
    -0.57
    lishes
    -0.56
    thro
    -0.55
    kefeller
    -0.55
    POSITIVE LOGITS
    king
    1.21
    semble
    1.18
     soon
    1.10
    bestos
    1.07
    semb
    1.06
    phalt
    1.03
     far
    1.00
    piring
    0.99
     usual
    0.95
    piration
    0.94
    Activations Density 0.085%

    No Known Activations