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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. 9-RES-JB
    11. 23761
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    Explanations

    sentences or phrases related to in-depth analysis or discussion

    oai_token-act-pair · gpt-3.5-turbo

    statements that indicate a discussion of various topics or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     neighb
    -0.92
     prosec
    -0.77
     mascara
    -0.76
     lifes
    -0.75
     landsl
    -0.75
     prayers
    -0.75
     neigh
    -0.74
     skelet
    -0.72
     Aval
    -0.71
     agon
    -0.71
    POSITIVE LOGITS
    Specifically
    1.69
    Firstly
    1.69
    First
    1.63
    According
    1.57
    Here
    1.54
    Consider
    1.51
    Before
    1.48
    Advertisement
    1.47
    Starting
    1.47
    Initially
    1.47
    Activations Density 0.523%

    No Known Activations