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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    occurrences of the word "Cabinet"

    oai_token-act-pair · gpt-3.5-turbo

    references to government cabinets and their functions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amples
    -0.76
    owicz
    -0.73
    SAM
    -0.70
    ighth
    -0.68
    imity
    -0.67
    izen
    -0.67
     Gim
    -0.67
    near
    -0.67
    thia
    -0.65
     GOODMAN
    -0.64
    POSITIVE LOGITS
     secretaries
    1.14
     ministers
    1.12
     minister
    1.01
     Ministers
    0.97
     appointments
    0.96
     ministerial
    0.93
     secretary
    0.91
     ministry
    0.86
     cabinet
    0.85
     appoint
    0.85
    Activations Density 0.008%

    No Known Activations