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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 5009
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    Explanations

    the word "em" followed by various suffixes like "bers", "blazoned", "ulators", "bezzlement" and "ce" among others

    oai_token-act-pair · gpt-3.5-turbo

    the prefix "em" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aird
    -0.73
     Lovecraft
    -0.73
    RAW
    -0.72
     Draw
    -0.71
     Hitch
    -0.70
    DragonMagazine
    -0.69
     Idle
    -0.68
     Kavanaugh
    -0.67
     Kubrick
    -0.66
     Wynne
    -0.65
    POSITIVE LOGITS
    igrants
    1.32
    igrant
    1.25
    igration
    1.17
    igrated
    1.15
    blems
    1.13
    bers
    1.09
    perors
    1.08
    igr
    1.06
    acs
    1.05
    otions
    1.03
    Activations Density 0.012%

    No Known Activations