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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. 6076
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    Explanations

    certain adjectives describing a personal or emotional tone

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the article "a" in various contexts and situations

    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
    agents
    -0.90
    Ord
    -0.81
    parts
    -0.75
     è£ıè
    -0.73
    Contents
    -0.72
    objects
    -0.72
    events
    -0.71
    Events
    -0.69
    Own
    -0.67
    assetsadobe
    -0.66
    POSITIVE LOGITS
     handful
    1.24
     plethora
    1.17
     penchant
    1.17
     slew
    1.16
     bunch
    1.14
    cknowled
    1.12
     lot
    1.06
     willingness
    1.06
     few
    1.01
     multitude
    1.01
    Activations Density 0.297%

    No Known Activations