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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. 0-RES-JB
    6. 20680
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    INDEX
    Explanations

    the word stem "osen" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "rosen" and related variations

    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
     Experimental
    -0.71
     Indie
    -0.64
     scrimmage
    -0.63
     immersion
    -0.62
     TM
    -0.61
     Dakota
    -0.60
     Theft
    -0.59
    dq
    -0.59
     spy
    -0.59
    Ti
    -0.58
    POSITIVE LOGITS
    osen
    4.65
    olen
    2.00
    alon
    1.28
    oren
    1.14
    isen
    1.04
    uden
    1.03
     Rosen
    1.00
    oser
    0.99
    isman
    0.97
    ocent
    0.97
    Activations Density 0.023%

    No Known Activations