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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. 3468
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    Explanations

    numerical values associated with webpage formatting or coding

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 300

    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
    warts
    -0.92
    algia
    -0.84
    estate
    -0.81
    stay
    -0.80
    aken
    -0.80
    fare
    -0.77
    oha
    -0.76
    atories
    -0.76
    agan
    -0.76
    acon
    -0.74
    POSITIVE LOGITS
     MHz
    0.86
    MHz
    0.80
     volts
    0.72
    Mbps
    0.69
     Meter
    0.68
     feet
    0.67
    Hz
    0.67
    fps
    0.67
     pounds
    0.67
     ILCS
    0.66
    Activations Density 0.015%

    No Known Activations