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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. 13033
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    Explanations

    words related to various forms of the word "easy" or "easiness"

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe ease or difficulty

    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
    itative
    -0.90
    ihar
    -0.83
    ocating
    -0.78
    ified
    -0.76
    arium
    -0.75
    enance
    -0.73
     guiName
    -0.73
    ocated
    -0.72
    itatively
    -0.72
    ines
    -0.71
    POSITIVE LOGITS
    ħĭ
    0.99
    llular
    0.82
    oÄŁ
    0.81
    visor
    0.80
     srfAttach
    0.76
    akia
    0.75
    uyomi
    0.75
    pora
    0.74
     teasp
    0.74
     cumbers
    0.73
    Activations Density 0.033%

    No Known Activations