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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. 14404
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    Explanations

    verbs related to management and organization

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to decision-making and approvals in a business context

    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
    }.
    -0.62
    yt
    -0.60
    Merit
    -0.60
    era
    -0.59
    })
    -0.59
    \'
    -0.58
    .''
    -0.58
    mone
    -0.58
    Rocket
    -0.58
    .</
    -0.56
    POSITIVE LOGITS
     narrower
    0.66
     horizont
    0.65
     whoever
    0.64
     multiple
    0.58
    ecause
    0.58
     specific
    0.58
     manually
    0.58
     subdiv
    0.58
     facult
    0.57
     smaller
    0.57
    Activations Density 1.123%

    No Known Activations