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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. 20304
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    Explanations

    technical information about data handling and processing

    oai_token-act-pair · gpt-3.5-turbo

    phrases that assert the existence or state of data and its characteristics

    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
    inav
    -0.83
    osate
    -0.80
    ionics
    -0.67
    alities
    -0.66
    Others
    -0.65
    worthiness
    -0.64
    atives
    -0.63
    endon
    -0.62
    doms
    -0.61
    irm
    -0.60
    POSITIVE LOGITS
     indistinguishable
    1.12
     treated
    1.08
     supposed
    1.06
     usually
    1.03
    omorphic
    1.01
     stored
    0.98
     represented
    0.98
     ALWAYS
    0.97
     assumed
    0.97
     always
    0.96
    Activations Density 0.324%

    No Known Activations