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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. 4012
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    Explanations

    Terms related to allocation or assigning resources or responsibilities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to resource allocation

    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
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    Negative Logits
    faced
    -0.75
    Ther
    -0.70
    psc
    -0.68
    sonian
    -0.67
    âĵĺ
    -0.66
    aptic
    -0.66
    odan
    -0.65
    Dur
    -0.63
    Phoenix
    -0.63
    loo
    -0.63
    POSITIVE LOGITS
     allocations
    1.38
     allocation
    1.32
    folios
    1.05
     allocated
    1.03
     allocate
    1.02
    mble
    1.02
    itures
    1.00
    eering
    0.87
    iture
    0.86
     funds
    0.85
    Activations Density 0.014%

    No Known Activations