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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. 14425
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    Explanations

    words related to the concept of "greater" or "more intense", such as grander, grudgingly, grilling

    oai_token-act-pair · gpt-3.5-turbo

    words related to "grandeur" or "grand" concepts in various contexts

    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
    )=(
    -0.79
    phrine
    -0.78
    vention
    -0.74
    hibition
    -0.70
    eers
    -0.69
    graduate
    -0.68
    ership
    -0.68
    manship
    -0.65
    tics
    -0.64
     vitro
    -0.63
    POSITIVE LOGITS
    umpy
    1.18
    aciously
    1.17
    iffin
    1.14
    udge
    1.14
    udging
    1.11
    acies
    1.03
    anny
    1.02
    aced
    1.02
    itt
    1.00
    ained
    0.98
    Activations Density 0.007%

    No Known Activations