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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. 8-RES-JB
    11. 8251
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    Explanations

    repetitive phrases or patterns indicating routine or familiarity within a location

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" in various contexts throughout the text

    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
    orsi
    -0.72
    tm
    -0.72
    Reason
    -0.71
    ItemImage
    -0.69
    buy
    -0.68
    ï¸ı
    -0.67
    arians
    -0.66
    handedly
    -0.65
    ©¶æ
    -0.65
    pers
    -0.65
    POSITIVE LOGITS
     midst
    1.47
     confines
    1.21
     depths
    1.11
     trenches
    1.10
     woods
    1.10
     vicinity
    1.09
     halls
    1.08
     attic
    1.06
     middle
    1.02
     classroom
    1.01
    Activations Density 0.344%

    No Known Activations