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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. 19453
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    INDEX
    Explanations

    references to statements made by individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb 'told' in various contexts

    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
     ILCS
    -0.89
    mol
    -0.76
     sidx
    -0.76
    anty
    -0.75
    FIELD
    -0.72
    nant
    -0.72
    isol
    -0.71
    âĸij
    -0.71
    é¾įåĸļ士
    -0.70
    âĨij
    -0.70
    POSITIVE LOGITS
     reporters
    1.57
     listeners
    1.25
     colleagues
    1.23
     attendees
    1.17
     journalists
    1.15
     interviewer
    1.12
     lawmakers
    1.09
     audiences
    1.07
     senators
    1.05
     viewers
    1.05
    Activations Density 0.090%

    No Known Activations