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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. 2-RES-JB
    11. 13401
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    Explanations

    phrases related to various types of accommodations

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of accommodation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     brow
    -0.74
    ochet
    -0.71
    vern
    -0.68
    monds
    -0.66
    prints
    -0.65
    yss
    -0.63
    print
    -0.62
    vous
    -0.61
    hunt
    -0.61
    mary
    -0.60
    POSITIVE LOGITS
     accommodation
    1.39
     accommodations
    1.38
    ommod
    0.94
    ãĤ´ãĥ³
    0.81
    ãĥķãĤ¡
    0.79
     arrangements
    0.79
    ij士
    0.75
     reservations
    0.74
    anooga
    0.72
     accommod
    0.71
    Activations Density 0.006%

    No Known Activations