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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 14004
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    Explanations

    references to processors and cores, particularly focusing on the octa-core architecture

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "octopus" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.97
    ACTED
    -0.82
     Limbaugh
    -0.78
    ãģĦ
    -0.78
    HCR
    -0.69
     Cause
    -0.68
    adder
    -0.67
    ãĤŃ
    -0.66
    ndra
    -0.66
     Darkness
    -0.65
    POSITIVE LOGITS
    opus
    1.29
    oct
    1.24
     oct
    1.20
    ober
    1.10
    agonal
    1.01
    agon
    0.96
    uple
    0.92
    asus
    0.89
     Seym
    0.85
    agons
    0.84
    Activations Density 0.007%

    No Known Activations