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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. 6-RES-JB
    11. 525
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    Explanations

    phrases related to things happening or being observed

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the presence of people or objects in front of the camera

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    QL
    -0.76
    wcs
    -0.74
    aren
    -0.71
    arily
    -0.68
    >[
    -0.66
    dayName
    -0.65
    among
    -0.65
    vati
    -0.63
    Clar
    -0.62
    acci
    -0.60
    POSITIVE LOGITS
     fireplace
    0.76
    thouse
    0.74
    agons
    0.72
    swer
    0.71
     doors
    0.70
     Hogwarts
    0.70
     scrimmage
    0.65
    sight
    0.65
    rium
    0.64
     webcam
    0.64
    Activations Density 0.039%

    No Known Activations