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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. 7-RES-JB
    11. 18009
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    INDEX
    Explanations

    phrases related to describing or evaluating something

    oai_token-act-pair · gpt-3.5-turbo

    assertions about significant actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    skinned
    -0.70
     occupants
    -0.69
     ILCS
    -0.68
    umbnails
    -0.67
    76561
    -0.66
    installed
    -0.65
     inhabit
    -0.63
    activate
    -0.62
    »Ĵ
    -0.60
    haired
    -0.60
    POSITIVE LOGITS
     unprecedented
    0.79
     textbook
    0.76
    historic
    0.75
     counterproductive
    0.74
     moot
    0.73
     treason
    0.72
     deliberate
    0.70
     unsustainable
    0.70
     unfair
    0.70
     heresy
    0.69
    Activations Density 0.170%

    No Known Activations