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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. 20490
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    Explanations

    words related to industrial settings or activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to the industrial sector

    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
    EStream
    -0.87
    Downloadha
    -0.74
    theless
    -0.74
    words
    -0.74
     Recomm
    -0.73
    BOOK
    -0.72
    ktop
    -0.71
    cific
    -0.69
    */(
    -0.68
    eeper
    -0.68
    POSITIVE LOGITS
    ization
    1.11
    ised
    1.03
    isation
    0.98
    ized
    0.96
    ists
    0.96
    izational
    0.92
    izing
    0.91
     conglomerate
    0.87
    ising
    0.83
    ische
    0.82
    Activations Density 0.016%

    No Known Activations