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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. 2-RES-JB
    11. 6897
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    Explanations

    words related to invoking, summoning, or calling forth something

    oai_token-act-pair · gpt-3.5-turbo

    words related to conjuring or summoning imagery and ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.79
    DragonMagazine
    -0.74
     Carnegie
    -0.73
    TPS
    -0.71
     Preferred
    -0.65
     Goo
    -0.65
    utherford
    -0.64
    iary
    -0.63
     SAP
    -0.63
     Banking
    -0.63
    POSITIVE LOGITS
     conj
    1.21
    unct
    1.13
    uration
    1.02
    ugal
    0.98
    uncture
    0.98
    oked
    0.88
    oint
    0.87
    ãĥ¼ãĥ
    0.83
    ure
    0.82
    ured
    0.79
    Activations Density 0.011%

    No Known Activations