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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. 3-RES-JB
    11. 4280
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    Explanations

    phrases related to construction materials, particularly "cob" and "cobble."

    oai_token-act-pair · gpt-3.5-turbo

    words related to construction, particularly involving cob and cobblestone

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istics
    -0.76
    Princ
    -0.71
    istor
    -0.70
     Samoa
    -0.68
    hip
    -0.68
     Fraser
    -0.67
     Imran
    -0.66
    Sent
    -0.65
    variable
    -0.64
    CVE
    -0.64
    POSITIVE LOGITS
     cob
    1.26
    bled
    1.12
    bles
    0.95
    weed
    0.94
    gob
    0.87
    bling
    0.85
    anium
    0.82
    bl
    0.80
    ãĤ©
    0.79
    glers
    0.78
    Activations Density 0.012%

    No Known Activations