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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. 10-RES-JB
    11. 8337
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    Explanations

    phrases indicating a lack of disclosure or unwillingness to provide specific details

    oai_token-act-pair · gpt-3.5-turbo

    instances of withheld information or details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ixture
    -0.65
    STER
    -0.65
    oir
    -0.63
    aturated
    -0.61
    cour
    -0.61
    suits
    -0.61
     Seym
    -0.61
    ensis
    -0.60
     Kingdoms
    -0.60
    jam
    -0.60
    POSITIVE LOGITS
     specifics
    1.67
     details
    1.32
     particulars
    1.28
     exact
    1.27
     precise
    1.18
     specific
    1.12
     timeframe
    1.08
     timetable
    0.98
     names
    0.98
     motive
    0.92
    Activations Density 0.189%

    No Known Activations