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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 6195
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    Explanations

    proper nouns, possibly related to news or events

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     [&
    -0.79
    ãĥīãĥ©ãĤ´ãĥ³
    -0.72
    20439
    -0.65
     [|
    -0.65
     ..."
    -0.63
    ;;;;;;;;;;;;
    -0.62
    .</
    -0.62
     guiActiveUnfocused
    -0.61
    åĤ
    -0.60
    )</
    -0.59
    POSITIVE LOGITS
    jamin
    0.97
    odore
    0.94
    espie
    0.87
    arnaev
    0.86
    nesty
    0.85
    dinand
    0.85
    anyahu
    0.80
    raltar
    0.78
    resa
    0.78
    withstanding
    0.78
    Activations Density 0.168%

    No Known Activations