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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. 17649
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    Explanations

    descriptions of personal background and experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and relationships

    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
     guiName
    -0.59
    "}
    -0.56
    mpire
    -0.54
    continental
    -0.53
    ssl
    -0.53
    ê
    -0.52
    apper
    -0.52
    donald
    -0.52
    Untitled
    -0.51
    alist
    -0.51
    POSITIVE LOGITS
     however
    0.86
     therefore
    0.76
     moreover
    0.70
     furthermore
    0.64
     also
    0.63
     meanwhile
    0.58
     certainly
    0.56
     though
    0.53
     ital
    0.53
    olars
    0.53
    Activations Density 1.233%

    No Known Activations