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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. 9-RES-JB
    11. 7128
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    Explanations

    phrases related to business or organizations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to hospitality and public services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oldemort
    -0.70
     oranges
    -0.69
    uses
    -0.68
    pees
    -0.67
     Required
    -0.67
    girls
    -0.66
     TAMADRA
    -0.66
    Lay
    -0.66
    Ws
    -0.66
     Nanto
    -0.65
    POSITIVE LOGITS
     preservation
    0.97
     intelligence
    0.89
     finance
    0.84
     entertainment
    0.84
     conservation
    0.84
     hygiene
    0.81
     advisory
    0.81
     wellness
    0.81
    policy
    0.81
     environmental
    0.80
    Activations Density 0.170%

    No Known Activations