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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. 3-RES-JB
    11. 4511
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    Explanations

    words related to the action of checking or verifying something

    oai_token-act-pair · gpt-3.5-turbo

    words related to verifying or confirming information or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Church
    -0.75
    JP
    -0.71
    ————————
    -0.71
    cipled
    -0.69
    Filename
    -0.67
    é¾į
    -0.67
    LOD
    -0.67
    lvl
    -0.67
    SAY
    -0.66
    brance
    -0.66
    POSITIVE LOGITS
    etts
    0.94
    ysis
    0.84
     check
    0.82
    boxes
    0.80
    enhagen
    0.77
    chens
    0.75
     checking
    0.74
    ers
    0.74
    pelling
    0.74
    lists
    0.74
    Activations Density 0.019%

    No Known Activations