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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. 7-RES-JB
    11. 16771
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    Explanations

    dates and events mentioned in a historical or current context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to incidents or significant events in time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \":
    -0.57
    ':
    -0.57
    ãĤ¨ãĥ«
    -0.56
    "]=>
    -0.56
    vered
    -0.55
    ctive
    -0.55
    å¦
    -0.54
    isable
    -0.52
    isy
    -0.52
    âĶĢâĶĢâĶĢâĶĢ
    -0.50
    POSITIVE LOGITS
     famously
    0.58
     whereas
    0.57
     presumably
    0.57
     unsurprisingly
    0.52
     churn
    0.52
    iferation
    0.51
     supposedly
    0.51
     modeled
    0.49
     gob
    0.49
     soaking
    0.49
    Activations Density 1.299%

    No Known Activations