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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. 22678
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    Explanations

    verbs related to movement or action towards a specific goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to personal journeys or quests for success

    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
     summed
    -0.52
     LOT
    -0.50
    etimes
    -0.49
     caveats
    -0.48
    tumblr
    -0.48
    blogspot
    -0.47
     understatement
    -0.47
     Twain
    -0.46
    Downloadha
    -0.46
     discusses
    -0.46
    POSITIVE LOGITS
     desired
    0.66
     semblance
    0.59
     safely
    0.57
    iphate
    0.55
     foothold
    0.54
     advantageous
    0.54
     favourable
    0.53
     footing
    0.53
    iru
    0.52
    burse
    0.52
    Activations Density 1.336%

    No Known Activations