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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. 6-RES-JB
    11. 17461
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    Explanations

    specific times and dates presented in a specific format (e.g., hours and minutes separated by a colon)

    oai_token-act-pair · gpt-3.5-turbo

    specific time indicators and scheduling information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.74
    rette
    -0.72
    INC
    -0.71
    ãĤ¶
    -0.70
    γ
    -0.69
    ħĭ
    -0.67
    SpaceEngineers
    -0.64
    hemy
    -0.63
     icing
    -0.63
    OVA
    -0.63
    POSITIVE LOGITS
    502
    0.73
    576
    0.71
    venth
    0.71
    04
    0.66
    59
    0.65
    08
    0.65
    enger
    0.64
    58
    0.64
    916
    0.63
    warts
    0.62
    Activations Density 0.111%

    No Known Activations