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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. 12510
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    INDEX
    Explanations

    instances where an action was completed or experienced

    oai_token-act-pair · gpt-3.5-turbo

    past participles related to possession or experience

    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
    Newsletter
    -0.73
    âĺħ
    -0.70
    Soc
    -0.67
    mson
    -0.65
    FIG
    -0.65
    lig
    -0.63
    arning
    -0.62
    JD
    -0.61
    clud
    -0.59
    later
    -0.58
    POSITIVE LOGITS
     trouble
    1.12
     difficulty
    1.11
     enough
    1.05
     dealings
    1.04
     ample
    0.97
     difficulties
    0.97
     success
    0.95
     occasion
    0.95
     plenty
    0.94
     problems
    0.90
    Activations Density 0.086%

    No Known Activations