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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. 4981
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    Explanations

    phrases indicating movement or action towards a specific location

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" used frequently throughout the text

    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
    STER
    -0.64
    lain
    -0.64
    ãĥ«
    -0.63
    ãĤ¹
    -0.63
    catentry
    -0.62
    Ĵ
    -0.61
    ŀ
    -0.61
    Ŀ
    -0.61
    ãĥĪ
    -0.60
    HAEL
    -0.58
    POSITIVE LOGITS
    wards
    1.17
     unison
    1.09
    ordinate
    1.05
    escap
    1.04
    humane
    1.02
    between
    1.00
    animate
    0.99
    vert
    0.95
    clusions
    0.91
     vain
    0.91
    Activations Density 0.186%

    No Known Activations