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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. 6-RES-JB
    11. 8539
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    Explanations

    terms related to metallurgical materials

    oai_token-act-pair · gpt-3.5-turbo

    special characters or formatting elements that indicate important sections or structure in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctor
    -0.79
    UNCH
    -0.79
    ELF
    -0.75
    astern
    -0.66
    outhern
    -0.65
    XT
    -0.64
    pport
    -0.64
    ITH
    -0.63
    ASED
    -0.62
    IRO
    -0.61
    POSITIVE LOGITS
    s
    2.80
    sburg
    1.62
    sie
    1.50
    sburgh
    1.39
    sb
    1.39
    ski
    1.36
    sf
    1.30
    sis
    1.29
    sch
    1.28
    sg
    1.25
    Activations Density 0.476%

    No Known Activations