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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. 11-RES-JB
    11. 5158
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    Explanations

    adjectives describing the level of intensity or significance

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingham
    -0.65
    edit
    -0.65
    Edit
    -0.65
    ifts
    -0.65
    assisted
    -0.64
     refunds
    -0.64
    agree
    -0.62
    effects
    -0.60
    alks
    -0.60
    internet
    -0.59
    POSITIVE LOGITS
     staple
    1.07
     hallmark
    1.07
     topic
    1.06
     cornerstone
    1.03
     fixture
    1.02
     priority
    1.01
     centerpiece
    1.00
     factor
    0.95
     focal
    0.94
     recurring
    0.93
    Activations Density 0.142%

    No Known Activations