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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. 6395
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    INDEX
    Explanations

    common phrases related to various activities and settings

    oai_token-act-pair · gpt-3.5-turbo

    extreme measures and their consequences

    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
    etheless
    -0.67
    anon
    -0.65
    bek
    -0.57
     Cheong
    -0.56
    uddenly
    -0.54
    gall
    -0.53
     Doomsday
    -0.53
    lves
    -0.53
     Mehran
    -0.51
    htar
    -0.51
    POSITIVE LOGITS
     purposes
    1.53
     sake
    1.51
     reasons
    0.94
    ummies
    0.79
     purpose
    0.79
    ulz
    0.72
     reason
    0.68
     eternity
    0.66
     upcoming
    0.62
     Reasons
    0.60
    Activations Density 1.054%

    No Known Activations