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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1043
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    Explanations

    words related to support or approval of something

    oai_token-act-pair · gpt-3.5-turbo

    pro-terms related to advocacy or support for a particular viewpoint or issue

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.81
     noodles
    -0.66
     needles
    -0.66
     spears
    -0.64
     halls
    -0.64
     straw
    -0.64
     Halls
    -0.63
     strawberries
    -0.63
     squid
    -0.62
     spoon
    -0.61
    POSITIVE LOGITS
    blems
    1.56
    ceed
    1.46
    gression
    1.34
    digy
    1.34
    gressive
    1.32
    secut
    1.30
    spective
    1.30
    portion
    1.28
    spect
    1.27
    posal
    1.26
    Activations Density 0.022%

    No Known Activations