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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
    11. 9520
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    Explanations

    references to physical spaces, such as rooms or locations where certain events occur or items are found

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of spaces, particularly public or social ones

    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
     vengeance
    -0.70
     blackmail
    -0.64
     Turk
    -0.63
     ransom
    -0.63
    Doctors
    -0.61
     likeness
    -0.61
    ITH
    -0.61
     diagnosis
    -0.59
    IVERS
    -0.58
     Edmund
    -0.58
    POSITIVE LOGITS
    hips
    1.18
     spaces
    1.10
    hops
    1.08
    paces
    1.01
    uits
    0.98
    pace
    0.92
     Spaces
    0.89
    lot
    0.84
    ility
    0.83
    poons
    0.83
    Activations Density 0.025%

    No Known Activations