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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. 6825
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    Explanations

    mentions of experimental procedures or treatments

    oai_token-act-pair · gpt-3.5-turbo

    terms related to experimental or investigational processes

    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
    andra
    -0.79
    olulu
    -0.77
    HCR
    -0.72
    die
    -0.72
    say
    -0.70
    adr
    -0.70
    atra
    -0.69
    utra
    -0.69
    nings
    -0.67
    cript
    -0.67
    POSITIVE LOGITS
    imental
    1.09
     experimental
    0.80
    ists
    0.76
     laboratory
    0.75
     manip
    0.75
     Experimental
    0.75
     withd
    0.72
     experiment
    0.71
     experiments
    0.71
    ally
    0.70
    Activations Density 0.012%

    No Known Activations