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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. 1-RES-JB
    11. 14492
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    INDEX
    Explanations

    expressions indicating a preference or tendency towards a particular action

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to willingness or tendency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UU
    -0.75
    Nation
    -0.68
    mel
    -0.67
    oufl
    -0.67
     Drama
    -0.67
     Semin
    -0.66
    ARDS
    -0.65
     Boom
    -0.65
    ARD
    -0.64
    recorded
    -0.64
    POSITIVE LOGITS
     inclined
    1.47
     inclination
    1.18
     guiActiveUn
    0.93
     tempted
    0.93
    ¿½
    0.85
    ĺħ
    0.84
     incl
    0.84
     suscept
    0.84
    lihood
    0.82
    userc
    0.81
    Activations Density 0.007%

    No Known Activations