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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. 16967
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    Explanations

    phrases related to completion or accomplishment of tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating user account creation and interaction instructions

    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
     envy
    -0.68
     understatement
    -0.66
     alternatively
    -0.65
    ItemImage
    -0.64
     surpr
    -0.64
     nevertheless
    -0.63
     slideshow
    -0.62
    always
    -0.62
     nonetheless
    -0.62
     differently
    -0.61
    POSITIVE LOGITS
    romy
    0.91
     mastered
    0.85
    acqu
    0.82
    haar
    0.81
     completes
    0.80
     stabilized
    0.80
     finished
    0.76
    enough
    0.76
     sufficiently
    0.75
    sett
    0.75
    Activations Density 0.220%

    No Known Activations