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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. 3-RES-JB
    11. 8260
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĤ¹
    -0.79
     Adin
    -0.75
    éĹĺ
    -0.74
    ãĥ«
    -0.72
    ãĥ©ãĥ³
    -0.71
    ãĥ¬
    -0.71
    ãĤ·ãĥ£
    -0.66
    ä¸
    -0.65
     Gathering
    -0.64
    ador
    -0.63
    POSITIVE LOGITS
    kinson
    0.81
     haun
    0.73
    chin
    0.70
    pta
    0.67
    inson
    0.65
    enfranch
    0.63
    entary
    0.60
    eon
    0.59
    hare
    0.59
     neighbour
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.