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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. 8-RES-JB
    11. 1728
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    INDEX
    Explanations

    descriptions or discussions related to perceptions or perceived ideas

    oai_token-act-pair · gpt-3.5-turbo

    mentions of perception and perceived characteristics or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mers
    -0.74
    istration
    -0.69
    sch
    -0.68
    enson
    -0.68
    loads
    -0.68
    akura
    -0.67
    ulators
    -0.67
    swick
    -0.65
    undy
    -0.65
    shire
    -0.65
    POSITIVE LOGITS
    wcsstore
    0.89
     perceptions
    0.85
    ively
    0.78
     recoil
    0.78
     disson
    0.77
     perceive
    0.74
     attractiveness
    0.73
     conflic
    0.72
     biases
    0.70
     perception
    0.70
    Activations Density 0.040%

    No Known Activations