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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. 14719
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    Explanations

    time-related expressions involving numbers, particularly hours and days

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to 24-hour time or schedules

    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
    etsk
    -1.04
    oslav
    -0.90
    urat
    -0.82
    boa
    -0.79
    onyms
    -0.78
    oren
    -0.76
    achus
    -0.72
    <?
    -0.70
    ãĤ©
    -0.69
    vP
    -0.69
    POSITIVE LOGITS
    hour
    0.74
     Access
    0.72
    hours
    0.67
    365
    0.67
    ailable
    0.65
    SourceFile
    0.64
    Hour
    0.63
    ailability
    0.62
    knit
    0.59
     Lights
    0.58
    Activations Density 0.112%

    No Known Activations