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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. 304
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    Explanations

    phrases that address or refer to specific groups of people

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the audience or reader's familiarity or knowledge about a subject

    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
    %%%%
    -0.70
    Dialog
    -0.62
     Dep
    -0.62
    Quantity
    -0.61
    dq
    -0.60
    Reloaded
    -0.59
     Wed
    -0.59
    Hum
    -0.58
    houn
    -0.57
     ACTIONS
    -0.57
    POSITIVE LOGITS
     curious
    0.86
    iris
    0.83
     wondering
    0.82
     adventurous
    0.79
     impatient
    0.78
     inquire
    0.76
     lucky
    0.74
     unlucky
    0.72
    ppers
    0.69
    iple
    0.69
    Activations Density 0.142%

    No Known Activations