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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. 0-RES-JB
    11. 19885
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    Explanations

    names of different types or categories

    oai_token-act-pair · gpt-3.5-turbo

    references to different types or categories of objects or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įåĸļ士
    -0.81
    hend
    -0.69
    ²¾
    -0.69
    姫
    -0.66
     meanwhile
    -0.66
    noon
    -0.63
    İĭ
    -0.62
    humans
    -0.61
    arthed
    -0.60
    orah
    -0.60
    POSITIVE LOGITS
     type
    3.60
     types
    2.63
    type
    2.55
    Type
    2.22
     Type
    2.22
     kind
    2.03
    types
    1.93
     TYPE
    1.91
     Types
    1.84
     kinds
    1.76
    Activations Density 0.013%

    No Known Activations