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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. 11-RES-JB
    11. 468
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    Explanations

    words related to micro machines and technology, particularly focusing on 'microm' and 'rom'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to molecular and atomic structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Winston
    -0.70
    MORE
    -0.64
     Krug
    -0.63
     spoken
    -0.61
     shout
    -0.57
     upside
    -0.57
     avail
    -0.57
    externalActionCode
    -0.56
     linger
    -0.56
     Warn
    -0.55
    POSITIVE LOGITS
    etric
    1.54
    agnetic
    1.51
    etry
    1.39
    icro
    1.38
    etrical
    1.34
    icrobial
    1.30
    essage
    1.26
    otive
    1.23
    aterial
    1.21
    ilitary
    1.20
    Activations Density 0.071%

    No Known Activations