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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. 14655
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    Explanations

    equipment and parts related to mechanical structures or technology

    oai_token-act-pair · gpt-3.5-turbo

    elements related to mechanical or structural components

    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
    KNOWN
    -0.90
    IQ
    -0.70
    ACTED
    -0.68
    astical
    -0.68
     flashbacks
    -0.65
    relevant
    -0.65
    eanor
    -0.65
     Reincarnated
    -0.65
    achu
    -0.64
    tumblr
    -0.64
    POSITIVE LOGITS
     diameter
    1.08
     liner
    1.05
     protr
    0.99
     molded
    0.95
     attachments
    0.93
     chassis
    0.92
     rails
    0.91
     strut
    0.90
     weights
    0.90
     width
    0.89
    Activations Density 0.315%

    No Known Activations