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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. 2-RES-JB
    11. 6589
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    Explanations

    words related to the process of discussing and deciding on a course of action, especially in a group setting

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to decision-making processes and deliberation

    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
    elf
    -0.74
     Job
    -0.64
    dar
    -0.63
    uv
    -0.63
     charism
    -0.61
    attribute
    -0.61
    Mar
    -0.61
    English
    -0.60
    RF
    -0.60
    roy
    -0.59
    POSITIVE LOGITS
     deliber
    1.44
     deliberations
    1.18
    itures
    0.83
    iband
    0.77
    ision
    0.74
    daq
    0.74
    rontal
    0.74
     debating
    0.74
     unfocusedRange
    0.74
    atives
    0.74
    Activations Density 0.014%

    No Known Activations