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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    concepts related to technology and social issues

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

    No Comments

    Negative Logits
    INAL
    -0.64
    ãĥ¼ãĥ³
    -0.64
    dfx
    -0.57
    ucci
    -0.56
    amera
    -0.56
    blank
    -0.55
     unlucky
    -0.55
    lyak
    -0.53
    atari
    -0.53
    ãĤ´ãĥ³
    -0.53
    POSITIVE LOGITS
     including
    0.62
     ISI
    0.60
     Occupations
    0.59
     âĢº
    0.54
    Indust
    0.53
     academics
    0.53
     academia
    0.53
    natureconservancy
    0.53
     alike
    0.52
    including
    0.51
    Activations Density 1.545%

    No Known Activations