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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. 7630
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to astronomy and related careers

    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
    etting
    -0.82
    itsch
    -0.74
     proport
    -0.71
    ilion
    -0.71
    ensing
    -0.69
     conflic
    -0.69
    ounding
    -0.69
    andel
    -0.69
    sembly
    -0.68
    angan
    -0.68
    POSITIVE LOGITS
    hood
    1.21
    Joined
    1.04
    esses
    0.95
     extraord
    0.90
    doms
    0.85
     Manifest
    0.84
    dom
    0.83
    ry
    0.81
    ess
    0.81
    Unknown
    0.79
    Activations Density 0.229%

    No Known Activations