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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. 1-RES-JB
    11. 20921
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    Explanations

    words related to specific physical locations, potentially with an emphasis on the end of the word

    oai_token-act-pair · gpt-3.5-turbo

    the word "there."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CPC
    -0.71
    knife
    -0.64
     drawer
    -0.63
     Labrador
    -0.62
     Luffy
    -0.62
    lime
    -0.61
    OWS
    -0.61
     behalf
    -0.61
     Greenland
    -0.59
     Apache
    -0.59
    POSITIVE LOGITS
    ere
    1.08
    ndum
    1.02
    lect
    0.94
    lease
    0.91
    phthal
    0.89
    nda
    0.89
    lict
    0.88
    lements
    0.85
    pec
    0.82
    agles
    0.82
    Activations Density 0.007%

    No Known Activations