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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. 4-RES-JB
    11. 19357
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    Explanations

    references to the organization "Red Cross"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Red Cross and related organizations

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

    No Comments

    Negative Logits
     Gerrard
    -0.70
    */(
    -0.70
     Watt
    -0.70
    à¸
    -0.67
    dest
    -0.64
     Mahar
    -0.64
    é¾
    -0.63
     Middles
    -0.63
    seconds
    -0.63
    spir
    -0.62
    POSITIVE LOGITS
    naires
    0.76
    orers
    0.71
     volunteers
    0.71
    osate
    0.70
     Armory
    0.68
     Soldiers
    0.66
     Volunteers
    0.66
    roads
    0.65
    Aid
    0.65
     airstrikes
    0.64
    Activations Density 0.022%

    No Known Activations