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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. 22735
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    phrases related to appointments or pointing to something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to appointments or assignments

    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
     PLAN
    -0.67
    OAD
    -0.67
     Boom
    -0.63
     Py
    -0.61
    $$
    -0.61
     Bake
    -0.61
     Got
    -0.61
    ORTS
    -0.61
    NES
    -0.60
     Dare
    -0.59
    POSITIVE LOGITS
    oint
    1.65
    ointed
    1.36
    ointment
    1.00
    ingly
    0.98
    ewater
    0.97
    eering
    0.97
    eless
    0.95
    inence
    0.92
    rive
    0.90
    rophe
    0.89
    Activations Density 0.005%

    No Known Activations