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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. 7-RES-JB
    11. 4027
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    Explanations

    phrases related to possession or ownership

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words related to individual agency and personal responsibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thia
    -0.68
     Lank
    -0.61
    ilus
    -0.61
     Chronicles
    -0.60
    reau
    -0.60
     McGee
    -0.60
    STEM
    -0.60
    Reply
    -0.59
    ules
    -0.58
     Guards
    -0.58
    POSITIVE LOGITS
     behest
    1.39
     expense
    1.23
     level
    1.05
     intersections
    1.02
     discretion
    1.00
     outset
    0.97
     doorstep
    0.96
     intervals
    0.94
     speeds
    0.94
     disadvantage
    0.93
    Activations Density 0.357%

    No Known Activations