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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. 1716
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    Explanations

    phrases related to participation or involvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating participation in various activities or events

    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
    ulence
    -0.68
     clocks
    -0.67
    oxin
    -0.66
    wyn
    -0.63
     ambig
    -0.63
    uncle
    -0.61
    aeus
    -0.60
     latch
    -0.60
    mother
    -0.59
     inexper
    -0.59
    POSITIVE LOGITS
     conversation
    0.83
     discussions
    0.80
     hostilities
    0.78
     voluntary
    0.77
     conversations
    0.76
    ordinate
    0.75
     accordance
    0.71
     activities
    0.69
     negotiations
    0.69
     Scouting
    0.68
    Activations Density 0.085%

    No Known Activations