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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. 9-RES-JB
    11. 3380
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    INDEX
    Explanations

    locations or positions in relation to objects or people

    oai_token-act-pair · gpt-3.5-turbo

    prepositions indicating location or position

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.82
     awa
    -0.79
    orge
    -0.78
    sonian
    -0.78
    allo
    -0.73
    ÑĮ
    -0.70
    brate
    -0.67
    heet
    -0.65
    eth
    -0.65
    glass
    -0.64
    POSITIVE LOGITS
     whence
    0.78
     anticipation
    0.73
     hopes
    0.72
     unsuspecting
    0.72
     order
    0.72
     preparation
    0.69
     flats
    0.65
     rainy
    0.63
    ĸļ
    0.63
     evenings
    0.63
    Activations Density 0.527%

    No Known Activations