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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. 6-RES-JB
    11. 513
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    oai_token-act-pair · gpt-3.5-turbo

    questions or inquiries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osate
    -0.83
    dom
    -0.83
    iasis
    -0.81
    oire
    -0.79
    icism
    -0.75
    odder
    -0.73
    rouse
    -0.72
    speak
    -0.71
    town
    -0.69
    ileaks
    -0.67
    POSITIVE LOGITS
    senal
    1.14
    wolves
    1.13
    wolf
    1.00
    nt
    0.93
    nda
    0.89
    nd
    0.78
     legion
    0.69
    ateurs
    0.69
    KNOWN
    0.64
    tha
    0.64
    Activations Density 0.124%

    No Known Activations