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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. 1910
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    Explanations

    words related to materials, objects, and tools used in various situations

    oai_token-act-pair · gpt-3.5-turbo

    words associated with various specific and diverse themes, including intensity, scarcity, and categories of goods or identities

    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
    ggle
    -0.59
    iatus
    -0.53
     Pixie
    -0.51
    ©¶æ
    -0.50
     Sunshine
    -0.50
     nutshell
    -0.49
    ttle
    -0.48
    20439
    -0.48
     Danger
    -0.48
    REP
    -0.48
    POSITIVE LOGITS
    etheless
    0.63
     notwithstanding
    0.57
    wise
    0.57
    whe
    0.55
    cause
    0.54
    entimes
    0.53
    cffff
    0.53
    dating
    0.53
     prest
    0.53
    fortunately
    0.52
    Activations Density 1.346%

    No Known Activations