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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. 8-RES-JB
    11. 11022
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    Explanations

    phrases related to sequential actions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate ongoing or developing situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mits
    -0.78
    thood
    -0.77
    fort
    -0.76
    worm
    -0.75
    strate
    -0.75
    ida
    -0.75
    boro
    -0.73
    idy
    -0.72
    uber
    -0.72
    odon
    -0.72
    POSITIVE LOGITS
     however
    1.14
     although
    1.02
     though
    1.00
     albeit
    0.96
     prompting
    0.96
     but
    0.88
     namely
    0.85
     whereas
    0.83
     culminating
    0.83
     depending
    0.81
    Activations Density 0.463%

    No Known Activations