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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. 7-RES-JB
    11. 9911
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    Explanations

    phrases related to technical instructions or procedures

    oai_token-act-pair · gpt-3.5-turbo

    instances of mistakes or errors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    licts
    -0.58
    "><
    -0.50
    anyahu
    -0.49
    unda
    -0.49
    DragonMagazine
    -0.48
     biologically
    -0.48
    aiden
    -0.48
     apologized
    -0.48
    ashtra
    -0.47
    ften
    -0.46
    POSITIVE LOGITS
    _.
    0.55
     anecdotes
    0.52
     tagging
    0.51
    ãģĻ
    0.50
     margin
    0.49
     hindsight
    0.49
     annotations
    0.49
    ãĥij
    0.49
     narration
    0.48
    ¬¼
    0.48
    Activations Density 1.338%

    No Known Activations