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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. 4-RES-JB
    11. 6176
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    Explanations

    keywords related to different types of commodities, including food and energy

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" used in various contexts

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

    No Comments

    Negative Logits
    :[
    -0.86
    :(
    -0.80
    éŃĶ
    -0.77
    omi
    -0.76
    ukong
    -0.75
    ilitary
    -0.73
    onymous
    -0.70
    amera
    -0.70
    çīĪ
    -0.69
    ":[
    -0.69
    POSITIVE LOGITS
     consequently
    0.87
     other
    0.83
     assorted
    0.83
     vice
    0.82
     hence
    0.81
     thus
    0.81
     possibly
    0.79
     therefore
    0.78
     thereby
    0.77
     consequ
    0.72
    Activations Density 0.705%

    No Known Activations