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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. 6070
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    Explanations

    selected items or options

    oai_token-act-pair · gpt-3.5-turbo

    commands or prompts related to selection actions

    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
    STD
    -0.70
     sink
    -0.67
    BIP
    -0.65
    ffff
    -0.65
    chief
    -0.64
     nerv
    -0.62
     grounded
    -0.61
     bitten
    -0.61
    vous
    -0.61
    utenberg
    -0.57
    POSITIVE LOGITS
    ively
    1.19
    ivity
    1.09
    inations
    0.97
    select
    0.96
    ives
    0.93
    ivities
    0.91
    inates
    0.91
    lish
    0.83
    ions
    0.81
     select
    0.81
    Activations Density 0.012%

    No Known Activations