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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. 6-RES-JB
    11. 15029
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    Explanations

    phrases related to firmly connecting or attaching objects together

    oai_token-act-pair · gpt-3.5-turbo

    actions related to binding or securing objects and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Carbuncle
    -0.75
    conom
    -0.71
     Scotia
    -0.70
     Schwarz
    -0.67
    iances
    -0.64
    renheit
    -0.64
    BLIC
    -0.64
    issance
    -0.63
    igans
    -0.61
     Moonlight
    -0.61
    POSITIVE LOGITS
     onto
    1.07
     tightly
    0.94
     together
    0.93
     securely
    0.90
    attach
    0.83
    lock
    0.82
    together
    0.81
     ropes
    0.80
     knot
    0.79
     knots
    0.78
    Activations Density 0.130%

    No Known Activations