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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. 7582
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    Explanations

    phrases indicating a person's relevance or involvement in a certain group or context

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a group of individuals or entities with a significant role or characteristic

    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
    anse
    -0.83
    heit
    -0.82
     thereof
    -0.76
    âĢİ
    -0.75
    ality
    -0.71
    ENCE
    -0.71
    cation
    -0.70
    cture
    -0.70
    cy
    -0.69
    ume
    -0.68
    POSITIVE LOGITS
     founders
    1.20
     youngest
    1.08
     oldest
    1.07
     founding
    1.06
     protagonists
    1.04
     pioneers
    1.02
     principals
    1.02
     earliest
    1.02
     richest
    1.01
     brightest
    1.00
    Activations Density 0.088%

    No Known Activations